Triple
T27461487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cordillera |
E692757
|
entity |
| Predicate | locatedInRegionOfChile |
P105993
|
FINISHED |
| Object | central Chile |
—
|
LITERAL 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: central Chile | Statement: [Province of Cordillera, locatedInRegionOfChile, central Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInRegionOfChile Context triple: [Province of Cordillera, locatedInRegionOfChile, central Chile]
-
A.
isPartOfChileanTerritory
Indicates that one entity is geographically or politically included within the official territory of Chile.
-
B.
areaInChile
chosen
Indicates that a place, region, or geographic area is located within the national territory of Chile.
-
C.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
D.
hasSurfaceAreaInChile
Indicates that an entity occupies a physical surface area located within the territory of Chile.
-
E.
majorCityOnChileanSide
Indicates that the referenced city is a principal or major urban center located on the Chilean side of a border, region, or geographic feature.
- F. None of above.
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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: April 27, 2026, 12:50 p.m.