Triple
T13188878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine light armored reconnaissance units |
E313929
|
entity |
| Predicate | exampleUnit |
P11709
|
FINISHED |
| Object |
3rd Light Armored Reconnaissance Battalion
The 3rd Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, armored reconnaissance and security operations using light armored vehicles.
|
E1030482
|
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 Light Armored Reconnaissance Battalion | Statement: [Marine light armored reconnaissance units, exampleUnit, 3rd Light Armored Reconnaissance Battalion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3rd Light Armored Reconnaissance Battalion Context triple: [Marine light armored reconnaissance units, exampleUnit, 3rd Light Armored Reconnaissance Battalion]
-
A.
1st Light Armored Reconnaissance Battalion
The 1st Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, armored reconnaissance and security operations using light armored vehicles.
-
B.
2nd Light Armored Reconnaissance Battalion
The 2nd Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, mobile reconnaissance and security operations using light armored vehicles.
-
C.
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.
-
D.
1st Reconnaissance Battalion
The 1st Reconnaissance Battalion is an elite United States Marine Corps unit specializing in advanced reconnaissance and surveillance operations in support of Marine Air-Ground Task Forces.
-
E.
53rd Armored Infantry Battalion
The 53rd Armored Infantry Battalion was a U.S. Army mechanized infantry unit that served as part of the famed 4th Armored Division during World War II.
- 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 Light Armored Reconnaissance Battalion Triple: [Marine light armored reconnaissance units, exampleUnit, 3rd Light Armored Reconnaissance Battalion]
Generated description
The 3rd Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, armored reconnaissance and security operations using light armored vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 3rd Light Armored Reconnaissance Battalion Target entity description: The 3rd Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, armored reconnaissance and security operations using light armored vehicles.
-
A.
1st Light Armored Reconnaissance Battalion
The 1st Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, armored reconnaissance and security operations using light armored vehicles.
-
B.
2nd Light Armored Reconnaissance Battalion
The 2nd Light Armored Reconnaissance Battalion is a United States Marine Corps unit specializing in fast, mobile reconnaissance and security operations using light armored vehicles.
-
C.
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.
-
D.
1st Reconnaissance Battalion
The 1st Reconnaissance Battalion is an elite United States Marine Corps unit specializing in advanced reconnaissance and surveillance operations in support of Marine Air-Ground Task Forces.
-
E.
53rd Armored Infantry Battalion
The 53rd Armored Infantry Battalion was a U.S. Army mechanized infantry unit that served as part of the famed 4th Armored Division during World War II.
- F. None of above. chosen
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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2e415481908ad1036376f702dc |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70c9718d08190b09fc6723712ef55 |
completed | May 3, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70d32b38881909d500b81a0164bda |
completed | May 3, 2026, 8:54 a.m. |
Created at: April 9, 2026, 9:15 p.m.