Triple

T24160274
Position Surface form Disambiguated ID Type / Status
Subject Greenlee County E598812 entity
Predicate primaryMineralResource P28979 FINISHED
Object copper 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: copper | Statement: [Greenlee County, primaryMineralResource, copper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryMineralResource
Context triple: [Greenlee County, primaryMineralResource, copper]
  • A. primaryOreTypes
    Indicates the main types of ore that are predominantly associated with or extracted from a given entity.
  • B. isMineralRich
    Indicates that a location or substance contains a high concentration or abundance of minerals.
  • C. typeOfMineralProduced
    Indicates that a specified mineral is produced or extracted as a result of a particular process, operation, or source.
  • D. hasImportantMineral chosen
    Indicates that an entity contains or is associated with a mineral considered significant or valuable in a given context.
  • E. primaryOreBody
    Indicates that an ore body is the main or most significant source of mineralization within a given deposit or mining project.
  • 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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e8b8c481908390c2dcff4e856b completed April 29, 2026, 10:43 a.m.
PD Predicate disambiguation batch_69f176585f3481909beb907de252cd98 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 11:32 p.m.