Triple

T8879243
Position Surface form Disambiguated ID Type / Status
Subject Korba E211365 entity
Predicate industrialAreaType P46965 FINISHED
Object mining 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: mining belt | Statement: [Korba, industrialAreaType, mining belt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industrialAreaType
Context triple: [Korba, industrialAreaType, mining belt]
  • A. hasIndustrialAreaType chosen
    Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
  • B. isIndustrialAreaOf
    Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
  • C. isIndustrialRegion
    Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
  • D. hasIndustrialZoning
    Indicates that a given area or property is designated for industrial use under zoning regulations.
  • E. isIndustrialCenter
    Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69cc5c2956788190a311c647b4da17a6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:52 p.m.