Triple
T22424421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couva |
E554331
|
entity |
| Predicate | locatedSouthOf |
P9676
|
FINISHED |
| Object | Chaguanas |
—
|
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: Chaguanas | Statement: [Couva, locatedSouthOf, Chaguanas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaguanas Context triple: [Couva, locatedSouthOf, Chaguanas]
-
A.
Chaguanas
chosen
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
-
B.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
C.
Chimbas
Chimbas is a city and important urban district located in the metropolitan area of San Juan, in western Argentina.
-
D.
Chato
Chato was the popular nickname for the Soviet Polikarpov I-15 biplane fighter, widely used during the Spanish Civil War.
-
E.
Chontales
Chontales is a department in central Nicaragua known for its cattle ranching, agriculture, and growing educational infrastructure.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2c47bc81908b8265d83fa6fb65 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.