Triple
T21716303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichigalpa |
E536036
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object | Flor de Caña |
—
|
NE NERFINISHED |
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: Flor de Caña | Statement: [Chichigalpa, associatedWithBrand, Flor de Caña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flor de Caña Context triple: [Chichigalpa, associatedWithBrand, Flor de Caña]
-
A.
Havana Club
Havana Club is a well-known Cuban rum brand recognized globally for its traditional production methods and association with Cuban cocktail culture.
-
B.
Don Q
Don Q is a Bronx-born American rapper known for his gritty lyricism and collaborations within the New York hip-hop scene.
-
C.
Angostura Reserva
Angostura Reserva is a premium white rum from Trinidad and Tobago known for its smooth, light character and use in classic cocktails.
-
D.
Flor de Caña rum distillery
chosen
Flor de Caña rum distillery is a renowned Nicaraguan rum producer recognized globally for its premium, sustainably made aged rums.
-
E.
Cacique rum
Cacique rum is a popular Venezuelan rum brand known for its smooth taste and wide distribution in Latin America and beyond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.