Triple
T8353295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Pelambres mine |
E196613
|
entity |
| Predicate | isMajorCopperProducer |
P33520
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Los Pelambres mine, isMajorCopperProducer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorCopperProducer Context triple: [Los Pelambres mine, isMajorCopperProducer, true]
-
A.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
B.
eraOfMajorMiningActivity
Indicates the time period during which significant or primary mining operations took place for the associated entity.
-
C.
hasImportantMineral
Indicates that an entity contains or is associated with a mineral considered significant or valuable in a given context.
-
D.
hasMiningCommodity
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
-
E.
isMajorIndustrialEconomy
Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804756088190a766e1a486ccfdff |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.