Triple
T17704847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerbas Buenas |
E441402
|
entity |
| Predicate | borderingAdministrativeUnit |
P224
|
FINISHED |
| Object | Colbún |
—
|
NE NERFINISHED |
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: Colbún | Statement: [Yerbas Buenas, borderingAdministrativeUnit, Colbún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colbún Context triple: [Yerbas Buenas, borderingAdministrativeUnit, Colbún]
-
A.
Colbún
chosen
Colbún is a Chilean town and municipality in the Maule Region, known for its nearby Colbún Lake and hydroelectric facilities.
-
B.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
C.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
-
D.
Catamayo
Catamayo is a significant urban center in southern Ecuador known for its agricultural production and proximity to the city of Loja.
-
E.
Horcón
Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47296770c8190b6b172fb647da564 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.