Triple
T19343486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Augustine, Trinidad and Tobago |
E483814
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Curepe |
—
|
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: Curepe | Statement: [St. Augustine, Trinidad and Tobago, near, Curepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curepe Context triple: [St. Augustine, Trinidad and Tobago, near, Curepe]
-
A.
Curepe
chosen
Curepe is a busy urban town in northern Trinidad known as a transportation hub and commercial center near the University of the West Indies.
-
B.
Guane
Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
-
C.
Guane
Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
-
D.
Bayaguana
Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
-
E.
Samaná
Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61858d6788190a5d63932c1dc25e6 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.