Triple
T19575345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avellaneda Department |
E489840
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Choele Choel |
—
|
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: Choele Choel | Statement: [Avellaneda Department, hasMajorTown, Choele Choel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choele Choel Context triple: [Avellaneda Department, hasMajorTown, Choele Choel]
-
A.
Choele Choel
chosen
Choele Choel is a town in the Río Negro Province of Argentina, known as an agricultural center in the fertile Valle Medio region.
-
B.
Nancagua
Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
-
C.
Melipeuco
Melipeuco is a small Andean foothill town and commune in southern Chile known for its proximity to Conguillío National Park and the Llaima volcano.
-
D.
Chimbarongo
Chimbarongo is a Chilean town and municipality in the O'Higgins Region, known for its traditional wicker craftsmanship and agricultural activities.
-
E.
Pucón
Pucón is a popular tourist town in southern Chile known for its lakeside setting on Villarrica Lake and proximity to the active Villarrica Volcano, offering outdoor activities like hiking, skiing, and hot springs.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.