Triple
T9489612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foch |
E228850
|
entity |
| Predicate | navalAviationType |
P1524
|
FINISHED |
| Object | fixed-wing 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: fixed-wing aircraft | Statement: [Foch, navalAviationType, fixed-wing aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalAviationType Context triple: [Foch, navalAviationType, fixed-wing aircraft]
-
A.
usedNavalAviation
Indicates that an entity employed or deployed naval aviation forces or capabilities in a particular context or operation.
-
B.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
C.
aircraftMaritimePatrol
Indicates that an aircraft is engaged in maritime patrol operations, monitoring and surveying sea areas for security, reconnaissance, or search-and-rescue purposes.
-
D.
aircraftType
chosen
Indicates the specific model or category of aircraft associated with an entity or event.
-
E.
aircraftCapability
Indicates that an aircraft possesses a particular capability, function, or operational feature.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c6f6bc8190aa09422508bd5d23 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.