Triple

T9964988
Position Surface form Disambiguated ID Type / Status
Subject Tôr E195658 entity
Predicate hasLocalWineProduction P59581 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: [Tôr, hasLocalWineProduction, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalWineProduction
Context triple: [Tôr, hasLocalWineProduction, true]
  • A. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • B. producesWine
    Indicates that one entity creates or manufactures wine as a product.
  • C. hasWineMakingTradition chosen
    Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
  • D. hasWinery
    Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
  • E. whiteWineProductionAllowed
    Indicates that producing white wine is permitted under the relevant rules, regulations, or conditions.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71c38488190a6f3cda11994f6a2 completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.