Triple
T17064094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tactical Air Force Wing 33 |
E414036
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
JaBoG 33
JaBoG 33 was a German Air Force tactical fighter-bomber wing known for operating aircraft such as the Panavia Tornado from its base at Büchel Air Base.
|
E1248734
|
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: JaBoG 33 | Statement: [Tactical Air Force Wing 33, abbreviation, JaBoG 33]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JaBoG 33 Context triple: [Tactical Air Force Wing 33, abbreviation, JaBoG 33]
-
A.
JBO
JBO is a British dance music record label known for releasing influential electronic and club-oriented tracks in the 1990s and 2000s.
-
B.
JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
C.
Joggeli
Joggeli is the popular nickname for St. Jakob-Park, a major football stadium and sports complex in Basel, Switzerland.
-
D.
3J
3J is the IATA airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
-
E.
JAB
JAB (the FedRAMP Joint Authorization Board) is the primary governance and decision-making body for FedRAMP that reviews and authorizes cloud services for use by U.S. federal agencies.
- 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: JaBoG 33 Triple: [Tactical Air Force Wing 33, abbreviation, JaBoG 33]
Generated description
JaBoG 33 was a German Air Force tactical fighter-bomber wing known for operating aircraft such as the Panavia Tornado from its base at Büchel Air Base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JaBoG 33 Target entity description: JaBoG 33 was a German Air Force tactical fighter-bomber wing known for operating aircraft such as the Panavia Tornado from its base at Büchel Air Base.
-
A.
JBO
JBO is a British dance music record label known for releasing influential electronic and club-oriented tracks in the 1990s and 2000s.
-
B.
JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
C.
Joggeli
Joggeli is the popular nickname for St. Jakob-Park, a major football stadium and sports complex in Basel, Switzerland.
-
D.
3J
3J is the IATA airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
-
E.
JAB
JAB (the FedRAMP Joint Authorization Board) is the primary governance and decision-making body for FedRAMP that reviews and authorizes cloud services for use by U.S. federal agencies.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7f6a6081909bebce3ce925e663 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a01245aa7ec81909fa20befa29f590c |
completed | May 11, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01281c8bf08190a24d77fe6af595f4 |
completed | May 11, 2026, 12:51 a.m. |
Created at: April 10, 2026, 5:34 a.m.