Triple
T1102976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubana de Aviación |
E25422
|
entity |
| Predicate | isGovernmentOwned |
P17469
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cubana de Aviación, isGovernmentOwned, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGovernmentOwned Context triple: [Cubana de Aviación, isGovernmentOwned, true]
-
A.
governmentOwned
chosen
Indicates that an entity is owned or controlled by a government or public authority.
-
B.
isGovernmentFacility
Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
-
C.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
D.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
-
E.
isCommercialArmOf
Indicates that one entity functions as the business or revenue-generating division, subsidiary, or operational branch of another entity.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.