Triple
T1196248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AeroCaribbean |
E25673
|
entity |
| Predicate | servedCity |
P3936
|
FINISHED |
| Object | Camagüey |
E68635
|
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: Camagüey | Statement: [AeroCaribbean, servedCity, Camagüey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camagüey Context triple: [AeroCaribbean, servedCity, Camagüey]
-
A.
Camagüey
chosen
Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
-
B.
Cienfuegos
Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
-
C.
Villa Clara
Villa Clara is a prominent Cuban baseball team known for its strong performances and rich history in the Cuban National Series.
-
D.
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.
-
E.
Las Tunas
Las Tunas is a city and provincial capital in eastern Cuba known for its cultural traditions and role as a regional economic center.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4005cd4c81909cff0ed6529d1695 |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 1, 2026, 7:46 p.m.