Triple
T6249536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arima |
E140010
|
entity |
| Predicate | hasNeighbouringArea |
P17964
|
FINISHED |
| Object | Sangre Grande |
E554330
|
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: Sangre Grande | Statement: [Arima, hasNeighbouringArea, Sangre Grande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangre Grande Context triple: [Arima, hasNeighbouringArea, Sangre Grande]
-
A.
Sangre Grande
chosen
Sangre Grande is a major town in northeastern Trinidad known as a regional commercial and transportation hub.
-
B.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
-
C.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
D.
Rio de Moinhos
Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
-
E.
Ribeira Grande
Ribeira Grande is a coastal town and municipality on the island of Santo Antão in Cape Verde, known for its dramatic mountainous landscapes and traditional Cape Verdean culture.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633c5f2081909b0246e061f8a7d9 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2441d4ad88190895237d834f5d9b8 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.