Triple
T12877390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocktail |
E308002
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Jamaica |
E7421
|
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: Jamaica | Statement: [Cocktail, setting, Jamaica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamaica Context triple: [Cocktail, setting, Jamaica]
-
A.
Jamaica
Jamaica is a major neighborhood and transportation hub in the borough of Queens, New York City, known for its busy commercial center and key rail connections, including the Long Island Rail Road and AirTrain to JFK Airport.
-
B.
Jamaica
Jamaica is a station on Mexico City’s metro system, serving as a key transfer point between multiple lines near the city’s central market area.
-
C.
Jamaica
chosen
Jamaica is a Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
-
D.
Jamaica
Jamaica is a small rural city in Guthrie County, Iowa, United States.
-
E.
Trinidad and Tobago
Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a535943081909f893b2be006cc28 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:38 p.m.