Triple
T28929320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaldívar mine |
E733736
|
entity |
| Predicate | regionIndustry |
P24922
|
FINISHED |
| Object | part of Antofagasta copper belt |
—
|
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: part of Antofagasta copper belt | Statement: [Zaldívar mine, regionIndustry, part of Antofagasta copper belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionIndustry Context triple: [Zaldívar mine, regionIndustry, part of Antofagasta copper belt]
-
A.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
B.
operatorIndustry
Indicates that an operator (such as a company or organization) is engaged in or associated with a particular industry sector.
-
C.
industryExposure
Indicates the extent to which an entity is involved in, affected by, or financially linked to a particular industry or set of industries.
-
D.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
E.
industryStatus
Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 28, 2026, 8:26 a.m.