Triple
T10834529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaguará |
E255716
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object | Huila |
E682946
|
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: Huila | Statement: [Yaguará, hasRegionCode, Huila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huila Context triple: [Yaguará, hasRegionCode, Huila]
-
A.
Huila
chosen
Huila is a department in southwestern Colombia known for its coffee production, the Tatacoa Desert, and the Betania and El Quimbo hydroelectric reservoirs.
-
B.
Espinal
Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
-
C.
Llanera
Llanera is a rural municipality in the province of Nueva Ecija in the Philippines, known primarily for its agricultural economy and rice farming.
-
D.
Bochica
Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
-
E.
Valderrama
Valderrama is a Spanish-language surname most prominently associated with Colombian football legend Carlos Valderrama and American actor Wilmer Valderrama.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d74425447081908fb51c7edf54af67 |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb11a264c8190829ff89f0b13d063 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.