Triple
T9698325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3rd Special Forces Group (Airborne) |
E234709
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
3rd Battalion, 3rd Special Forces Group (Airborne)
The 3rd Battalion, 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces battalion specializing in unconventional warfare, direct action, and other special operations missions, primarily supporting operations in Africa and other designated regions.
|
E234709
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3rd Battalion, 3rd Special Forces Group (Airborne) | Statement: [3rd Special Forces Group (Airborne), hasComponent, 3rd Battalion, 3rd Special Forces Group (Airborne)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3rd Battalion, 3rd Special Forces Group (Airborne) Context triple: [3rd Special Forces Group (Airborne), hasComponent, 3rd Battalion, 3rd Special Forces Group (Airborne)]
-
A.
2nd Battalion, 3rd Special Forces Group (Airborne)
The 2nd Battalion, 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces battalion specializing in unconventional warfare, direct action, and other special operations missions, primarily focused on deployments to Africa and the Middle East.
-
B.
3rd Special Forces Group (Airborne)
The 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces unit best known for its role in special operations across Africa and the Middle East, including extensive deployments in Afghanistan.
-
C.
27th Special Operations Group
The 27th Special Operations Group is a U.S. Air Force unit that conducts specialized air operations, including infiltration, exfiltration, and resupply of special operations forces, often using a variety of fixed-wing and rotary aircraft.
-
D.
10th Special Forces Group (Airborne)
The 10th Special Forces Group (Airborne) is a U.S. Army Special Forces unit specializing in unconventional warfare, foreign internal defense, and counterterrorism operations, primarily focused on the European and African theaters.
-
E.
3rd Ranger Battalion
The 3rd Ranger Battalion is an elite U.S. Army light infantry unit within the 75th Ranger Regiment, specializing in airborne, direct action, and special operations missions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 3rd Battalion, 3rd Special Forces Group (Airborne) Triple: [3rd Special Forces Group (Airborne), hasComponent, 3rd Battalion, 3rd Special Forces Group (Airborne)]
Generated description
The 3rd Battalion, 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces battalion specializing in unconventional warfare, direct action, and other special operations missions, primarily supporting operations in Africa and other designated regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 3rd Battalion, 3rd Special Forces Group (Airborne) Target entity description: The 3rd Battalion, 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces battalion specializing in unconventional warfare, direct action, and other special operations missions, primarily supporting operations in Africa and other designated regions.
-
A.
2nd Battalion, 3rd Special Forces Group (Airborne)
The 2nd Battalion, 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces battalion specializing in unconventional warfare, direct action, and other special operations missions, primarily focused on deployments to Africa and the Middle East.
-
B.
3rd Special Forces Group (Airborne)
chosen
The 3rd Special Forces Group (Airborne) is a U.S. Army Special Forces unit best known for its role in special operations across Africa and the Middle East, including extensive deployments in Afghanistan.
-
C.
27th Special Operations Group
The 27th Special Operations Group is a U.S. Air Force unit that conducts specialized air operations, including infiltration, exfiltration, and resupply of special operations forces, often using a variety of fixed-wing and rotary aircraft.
-
D.
10th Special Forces Group (Airborne)
The 10th Special Forces Group (Airborne) is a U.S. Army Special Forces unit specializing in unconventional warfare, foreign internal defense, and counterterrorism operations, primarily focused on the European and African theaters.
-
E.
3rd Ranger Battalion
The 3rd Ranger Battalion is an elite U.S. Army light infantry unit within the 75th Ranger Regiment, specializing in airborne, direct action, and special operations missions.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3c02e0819098d05c68805689f1 |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af8990608190a841c1fbdb22eb71 |
completed | April 5, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d1b08ba1f48190830852f9d60e3368 |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:18 p.m.