Triple
T36208198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 176th Maintenance Group |
E1047458
|
entity |
| Predicate | supportsAircraftOperator |
P204790
|
FINISHED |
| Object | 176th Operations Group |
E1044999
|
NE FINISHED |
How this triple was built (2 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: 176th Operations Group | Statement: [176th Maintenance Group, supportsAircraftOperator, 176th Operations Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAircraftOperator Context triple: [176th Maintenance Group, supportsAircraftOperator, 176th Operations Group]
-
A.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
operatesUnderAirOperatorCertificateOf
Indicates that one entity conducts its aviation operations under the authority, terms, and oversight of another entity’s air operator certificate.
-
C.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
D.
airBaseOperator
Indicates that one entity operates, manages, or is responsible for running an air base used for aviation activities.
-
E.
belongsToAirportOperator
Indicates that an airport or related facility is owned, managed, or operated by a specific airport operating organization.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3934217e588190aeeaf3a1e21bdaa9 |
completed | June 22, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.