Triple
T7559182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Departamento de Meta |
E178749
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Acacías |
E167575
|
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: Acacías | Statement: [Departamento de Meta, hasPopulationCenter, Acacías]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acacías Context triple: [Departamento de Meta, hasPopulationCenter, Acacías]
-
A.
Acacías
chosen
Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
-
B.
Guaiúba
Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
-
C.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
-
D.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
-
E.
Eugenia
Eugenia is a feminine given name of Greek origin, commonly used in various European and Latin American cultures.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dc7d288190a0d08ba704cc3fc2 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856cc869081909555ae03dec52288 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.