Triple
T36533130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 727th Special Operations Aircraft Maintenance Squadron |
E900501
|
entity |
| Predicate | typeOfAircraftSupported |
P70100
|
FINISHED |
| Object | special operations aircraft |
—
|
LITERAL 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: special operations aircraft | Statement: [727th Special Operations Aircraft Maintenance Squadron, typeOfAircraftSupported, special operations aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAircraftSupported Context triple: [727th Special Operations Aircraft Maintenance Squadron, typeOfAircraftSupported, special operations aircraft]
-
A.
supportsAircraft
chosen
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
-
C.
runwaySupportsAircraftType
Indicates that a particular runway is suitable and certified for use by a specified type of aircraft.
-
D.
appliesToAircraftFamily
Indicates that a rule, condition, or characteristic is relevant to, or valid for, an entire family or series of related aircraft models.
-
E.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
- F. None of above.
Provenance (3 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 3, 2026, 4:11 p.m.