Triple
T20770964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paillaco Commune |
E511229
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Paillaco |
—
|
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: Paillaco | Statement: [Paillaco Commune, administrativeCenter, Paillaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paillaco Context triple: [Paillaco Commune, administrativeCenter, Paillaco]
-
A.
Paillaco
chosen
Paillaco is a small Chilean city and commune located in the Los Ríos Region in the south of the country.
-
B.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
-
C.
Andacollo
Andacollo is a small town in Argentina’s Neuquén Province that serves as the administrative center of the surrounding rural region.
-
D.
Andacollo
Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
-
E.
Maipú
Maipú is a renowned wine-producing region in Argentina’s Mendoza Province, noted for its high-quality Malbec and other varietals.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c266f4b48190891c0db3e322bb23 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.