Triple
T14794887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quindío |
E347747
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Calarcá |
E803052
|
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: Calarcá | Statement: [Quindío, hasMunicipality, Calarcá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calarcá Context triple: [Quindío, hasMunicipality, Calarcá]
-
A.
Calarcá
chosen
Calarcá is a Colombian town and municipality in the coffee-growing Quindío Department, known for its cultural heritage and role in the Coffee Cultural Landscape.
-
B.
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.
-
C.
Suesca
Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
-
D.
Yopal
Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
-
E.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc5532881909f3bab83dca8f295 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:31 a.m.