Triple
T21619057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villazón |
E533525
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | La Quiaca |
—
|
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: La Quiaca | Statement: [Villazón, hasRoadConnectionTo, La Quiaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Quiaca Context triple: [Villazón, hasRoadConnectionTo, La Quiaca]
-
A.
La Quiaca
chosen
La Quiaca is a small Argentine border city in the far north of Jujuy Province, known as a key crossing point into Bolivia.
-
B.
Cinco Pinos
Cinco Pinos is a small town in northwestern Nicaragua known for its rural character and agricultural surroundings within the Chinandega region.
-
C.
Jemez
Jemez is a Tanoan language spoken by the Jemez Pueblo people of New Mexico.
-
D.
Cabeza Nevada
Cabeza Nevada is a notable mountain peak in the Sierra de Gredos range in central Spain, known for its high elevation and rugged alpine terrain.
-
E.
Grand Mesa
Grand Mesa is a large flat-topped mountain in western Colorado known for being one of the world’s largest mesas, featuring extensive forests, lakes, and recreational opportunities.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bad094c8190879d4aef7988254a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.