Triple
T11217341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copahue |
E265471
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Caviahue |
E491901
|
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: Caviahue | Statement: [Copahue, nearbySettlement, Caviahue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caviahue Context triple: [Copahue, nearbySettlement, Caviahue]
-
A.
Caviahue
chosen
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.
-
B.
Cutral Có
Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
-
C.
Chaca
Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
-
D.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
-
E.
Malargüe
Malargüe is a city in Argentina’s Mendoza Province known as a gateway to the Andean highlands, volcanic landscapes, and regional astronomical and scientific observatories.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ea19e8819095d5d02c1f145534 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc3ced708190adf7276865cfa715 |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:30 p.m.