Triple
T7801133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Pilar-class offshore patrol vessel |
E180433
|
entity |
| Predicate | canEmbarkAircraft |
P70100
|
FINISHED |
| Object | naval helicopter |
—
|
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: naval helicopter | Statement: [Del Pilar-class offshore patrol vessel, canEmbarkAircraft, naval helicopter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canEmbarkAircraft Context triple: [Del Pilar-class offshore patrol vessel, canEmbarkAircraft, naval helicopter]
-
A.
supportsAircraft
chosen
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
runwaySupportsAircraftType
Indicates that a particular runway is suitable and certified for use by a specified type of aircraft.
-
C.
hasRunwayAccessTo
Indicates that one location or facility is directly connected to another via a usable runway, allowing aircraft to move between them without leaving runway infrastructure.
-
D.
hasRunwayAccessVia
Indicates that an entity has access to a runway by means of a specified connecting route, facility, or intermediary.
-
E.
landingCapability
Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:33 p.m.