Triple
T660532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dassault Rafale |
E11742
|
entity |
| Predicate | takeoffType |
P14512
|
FINISHED |
| Object | CATOBAR carrier operations |
—
|
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: CATOBAR carrier operations | Statement: [Dassault Rafale, takeoffType, CATOBAR carrier operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeoffType Context triple: [Dassault Rafale, takeoffType, CATOBAR carrier operations]
-
A.
takeoffMethod
chosen
Indicates the method or procedure by which an aircraft or object initiates its takeoff from a surface or launch point.
-
B.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
landingGearType
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
-
D.
takeoffDistanceAtMaxWeight
Indicates the distance required for an aircraft to take off when operating at its maximum allowable weight.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d1406ec8190abf546549264c85d |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.