Triple

T37287980
Position Surface form Disambiguated ID Type / Status
Subject Menzies E925584 entity
Predicate hasHistoricGoldfields P55101 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: [Menzies, hasHistoricGoldfields, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricGoldfields
Context triple: [Menzies, hasHistoricGoldfields, true]
  • A. hasCoalMiningHistory
    Indicates that an entity has a past or ongoing involvement in coal mining activities or industry.
  • B. hasNaturalResourceHistory
    Indicates that there exists a documented history or record of natural resource–related events, uses, or conditions associated with an entity.
  • C. hasHistoricGround
    Indicates that one entity is located on, associated with, or includes land or grounds of historical significance related to another entity.
  • D. goldRushEra chosen
    Indicates a relationship or context tied to the historical period characterized by intense migration and mining activity driven by newly discovered gold.
  • E. hasOldWestHeritage
    Indicates that an entity possesses historical, cultural, or traditional connections to the Old West or American frontier era.
  • 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_69f76eafe20c8190856d3b996a4c31a7 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff7fc835f08190afd1f8129b7a62a2 completed May 9, 2026, 6:41 p.m.
PD Predicate disambiguation batch_69ff7f2e99ac8190ba372a1358a05a30 completed May 9, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:16 p.m.