Triple

T32204823
Position Surface form Disambiguated ID Type / Status
Subject Grande Chartreuse monastery E822639 entity
Predicate hasCommunalBuildings P206227 FINISHED
Object yes 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: yes | Statement: [Grande Chartreuse monastery, hasCommunalBuildings, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommunalBuildings
Context triple: [Grande Chartreuse monastery, hasCommunalBuildings, yes]
  • A. hasMunicipalBuildings
    Indicates that a place or jurisdiction possesses one or more buildings used for municipal or local government functions.
  • B. hasNearbyCivicBuilding
    Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
  • C. isPartOfCommunalSettlementTradition
    Indicates that something belongs to, or participates in, a shared tradition of communal settlement practices or ways of living together.
  • D. hasPlannedCommunity
    Indicates that an entity is associated with or contains a community that has been intentionally designed and organized according to a specific development plan.
  • E. hasMainBuildings
    Indicates that one entity possesses or is associated with one or more primary or principal buildings.
  • F. None of above. chosen

Provenance (4 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_69f349093174819086e633c190a51aa8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7fb9f88190b384b1b68200aef0 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 12:36 a.m.