Triple
T35465436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronel |
E1025054
|
entity |
| Predicate | isIndustrialCityIn |
P3436
|
FINISHED |
| Object | Biobío Region |
—
|
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: Biobío Region | Statement: [Coronel, isIndustrialCityIn, Biobío Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIndustrialCityIn Context triple: [Coronel, isIndustrialCityIn, Biobío Region]
-
A.
isPlannedIndustrialCity
Indicates that a city has been intentionally designed and developed primarily for industrial purposes according to a formal plan.
-
B.
isIndustrialCenter
chosen
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
C.
isUrbanAndIndustrialHub
Indicates that a place functions as a major center of urban activity and industrial production.
-
D.
servesIndustrialCity
Indicates that something functions to provide services, support, or utility to an industrial city.
-
E.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.