Triple
T13150341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Lisas Industrial Estate |
E312446
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Couva |
E554331
|
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: Couva | Statement: [Point Lisas Industrial Estate, locatedIn, Couva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couva Context triple: [Point Lisas Industrial Estate, locatedIn, Couva]
-
A.
Couva
chosen
Couva is a central town in Trinidad and Tobago known for its industrial activity, proximity to the Point Lisas Industrial Estate, and role as a growing residential and commercial hub.
-
B.
Camuy
Camuy is a municipality on Puerto Rico’s northwestern coast, known for its extensive cave system and rural coastal landscapes.
-
C.
Boquete
Boquete is a picturesque highland town in western Panama, renowned for its cool climate, coffee plantations, and outdoor activities such as hiking and birdwatching.
-
D.
Tocaima
Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
-
E.
Facatativá
Facatativá is a Colombian city in the Andean region, known for its proximity to Bogotá and the nearby Piedras del Tunjo archaeological park.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaea3f888190b47ed7bf1c52e7e7 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.