Triple
T1103003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AeroGaviota |
E25423
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Havana |
E396
|
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: Havana | Statement: [AeroGaviota, headquartersLocation, Havana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havana Context triple: [AeroGaviota, headquartersLocation, Havana]
-
A.
Havana, Cuba
chosen
Havana, Cuba is the capital and largest city of Cuba, renowned for its historic architecture, vibrant culture, and significant political and economic role in the Caribbean.
-
B.
Santiago de Cuba
Santiago de Cuba is a major city in southeastern Cuba known for its rich Afro-Cuban cultural heritage, historic role in the Cuban Revolution, and vibrant music and carnival traditions.
-
C.
Habana Vieja
Habana Vieja is the historic old quarter of Havana, Cuba, renowned for its colonial architecture, cobblestone streets, and vibrant cultural life.
-
D.
Cienfuegos
Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
-
E.
Baracoa
Baracoa is a historic coastal city in eastern Cuba, known as the island’s oldest Spanish settlement and for its lush tropical landscape and cocoa production.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0781e08190bbfd5fad2b122150 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:43 p.m.