Triple
T3158792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvian economy |
E66053
|
entity |
| Predicate | keyIndustry |
P24922
|
FINISHED |
| Object | mineral extraction |
—
|
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: mineral extraction | Statement: [Peruvian economy, keyIndustry, mineral extraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyIndustry Context triple: [Peruvian economy, keyIndustry, mineral extraction]
-
A.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
B.
industryPerception
Indicates how an industry is viewed or regarded, typically in terms of reputation, trust, or overall public and stakeholder opinion.
-
C.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
D.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
E.
foundingIndustry
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.