Triple
T6830767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosalá |
E157130
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Cosalá |
E157130
|
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: Cosalá | Statement: [Cosalá, hasMunicipalSeat, Cosalá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosalá Context triple: [Cosalá, hasMunicipalSeat, Cosalá]
-
A.
Cosalá
chosen
Cosalá is a historic mining town and municipality in the Mexican state of Sinaloa, known for its well-preserved colonial architecture and designation as a Pueblo Mágico (Magical Town).
-
B.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
C.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
D.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
E.
Choloma
Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62820808190ad3c244893e88699 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f73eec81908c666888a19c0b29 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.