Triple
T2367287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAESA |
E46010
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Aerogaviota |
E25423
|
NE 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: Aerogaviota | Statement: [GAESA, subsidiary, Aerogaviota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aerogaviota Context triple: [GAESA, subsidiary, Aerogaviota]
-
A.
AeroGaviota
chosen
AeroGaviota is a Cuban airline that primarily serves domestic and tourist-oriented routes, often connecting major hubs like Havana with resort and regional destinations across the country.
-
B.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
C.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
D.
Wing
Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
-
E.
Wing
Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc74b6bdc8190a12b2bcaa2dd7616 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea89ae4688190be2e0825f0875ed3 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:56 p.m.