Triple
T14930577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chañaral Province |
E372251
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Chañaral |
E71760
|
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: Chañaral | Statement: [Chañaral Province, capital, Chañaral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chañaral Context triple: [Chañaral Province, capital, Chañaral]
-
A.
Chañaral
chosen
Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
-
B.
Caviahue
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
-
C.
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.
-
D.
Chilecito
Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
-
E.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c728948190a1cfc62f4038b6ec |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:36 a.m.