Triple
T17198135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acereros |
E417405
|
entity |
| Predicate | clubAssociationWithIndustry |
P126698
|
FINISHED |
| Object | steel industry in Talcahuano |
—
|
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: steel industry in Talcahuano | Statement: [Acereros, clubAssociationWithIndustry, steel industry in Talcahuano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubAssociationWithIndustry Context triple: [Acereros, clubAssociationWithIndustry, steel industry in Talcahuano]
-
A.
cityIndustryAssociation
Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
-
B.
associationFounded
Indicates that an entity (such as a person or organization) established or created an association or organization.
-
C.
sponsorshipIndustry
Indicates a relationship where one entity sponsors another specifically within a given industry or sector context.
-
D.
sportingAssociation
Indicates a formal relationship in which an organization serves as a governing, organizing, or affiliating body for sports activities, teams, or events.
-
E.
hasFoundingIndustryAssociation
Indicates that an entity is associated with an industry organization that played a role in its founding or establishment.
- F. None of above. chosen
Provenance (4 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daca29081909837494d8d516634 |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:38 a.m.