Triple
T5942451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salar de Pedernales |
E132198
|
entity |
| Predicate | nearestMajorCity |
P1982
|
FINISHED |
| Object | Copiapó |
E34766
|
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: Copiapó | Statement: [Salar de Pedernales, nearestMajorCity, Copiapó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copiapó Context triple: [Salar de Pedernales, nearestMajorCity, Copiapó]
-
A.
Copiapó
chosen
Copiapó is a city in northern Chile known as a regional mining center and gateway to the Atacama Desert.
-
B.
Chiguayante
Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
-
C.
Cucunubá
Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
-
D.
Zapatoca
Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
-
E.
Chapala
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393641d0819081c6c44816d94e4e |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.