Triple
T8752229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninhue |
E207985
|
entity |
| Predicate | partOfRegion |
P285
|
FINISHED |
| Object | Ñuble Region |
E18267
|
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: Ñuble Region | Statement: [Ninhue, partOfRegion, Ñuble Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ñuble Region Context triple: [Ninhue, partOfRegion, Ñuble Region]
-
A.
Ñuble Region
chosen
Ñuble Region is an administrative region in south-central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
-
B.
Los Lagos Region
Los Lagos Region is a southern administrative region of Chile known for its lakes, volcanoes, and coastal landscapes, including the island of Chiloé.
-
C.
O’Higgins Region
The O’Higgins Region is an administrative region in central Chile known for its agricultural production, particularly vineyards and fruit growing, and its capital city, Rancagua.
-
D.
Región de Ñuble
Región de Ñuble is an administrative region in central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
-
E.
Maule Region
The Maule Region is an administrative region in central Chile known for its agricultural production, wine industry, and coastal and Andean landscapes.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c6b99a3c8190b873b1cc94609ed6 |
completed | April 4, 2026, 8:07 a.m. |
Created at: March 30, 2026, 6:39 p.m.