Triple
T6474551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearls Airport |
E146036
|
entity |
| Predicate | hadAircraftPresent |
P33393
|
FINISHED |
| Object | Cuban 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: Cuban aircraft | Statement: [Pearls Airport, hadAircraftPresent, Cuban aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadAircraftPresent Context triple: [Pearls Airport, hadAircraftPresent, Cuban aircraft]
-
A.
hasAircraftOnDisplay
Indicates that an entity exhibits or presents an aircraft as part of a display or collection.
-
B.
hasBasedAircraft
chosen
Indicates that an aircraft is regularly stationed or primarily based at a particular location or facility.
-
C.
previousAircraftUsed
Indicates that one aircraft was used immediately before another in a sequence of aircraft usage.
-
D.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
E.
launchedAircraftIn
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.