Triple
T1363442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviation Branch |
E29147
|
entity |
| Predicate | typeOfAircraft |
P1524
|
FINISHED |
| Object | attack helicopters |
—
|
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: attack helicopters | Statement: [Aviation Branch, typeOfAircraft, attack helicopters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAircraft Context triple: [Aviation Branch, typeOfAircraft, attack helicopters]
-
A.
aircraftType
chosen
Indicates the specific model or category of aircraft associated with an entity or event.
-
B.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
C.
carrierAircraft
Indicates that an aircraft is designed, equipped, or used to operate from an aircraft carrier.
-
D.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
E.
planeNumber
Indicates that an entity is associated with a specific airplane identification number (such as a tail number or flight number).
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b5d05c81908b49e282648e073a |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.