Triple
T7775221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal Council of Anapoima |
E179173
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Anapoima |
E33515
|
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: Anapoima | Statement: [Municipal Council of Anapoima, locatedIn, Anapoima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anapoima Context triple: [Municipal Council of Anapoima, locatedIn, Anapoima]
-
A.
Anapoima
chosen
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
-
B.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
-
C.
Sogamoso
Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
-
D.
Teusaquillo
Teusaquillo is a central locality of Bogotá, Colombia, known for its academic institutions, historic residential architecture, and cultural and recreational venues.
-
E.
Bucaramanga
Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7046331e0819080ec1a5c23c27cd7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a9ca03ec8190859d9728fef39d24 |
completed | March 29, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:11 p.m.