Triple

T36589699
Position Surface form Disambiguated ID Type / Status
Subject Sant Quirze Safaja E902632 entity
Predicate previouslyPartOfComarca P96680 FINISHED
Object Vallès Oriental NE NERFINISHED

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: Vallès Oriental | Statement: [Sant Quirze Safaja, previouslyPartOfComarca, Vallès Oriental]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyPartOfComarca
Context triple: [Sant Quirze Safaja, previouslyPartOfComarca, Vallès Oriental]
  • A. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. previouslyPartOfBoundaryBetween
    Indicates that something once formed part of the dividing line or border between two areas or entities, but no longer does so.
  • C. formerAdministrativeTerritory chosen
    Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
  • D. formerNameOfAreaWithin
    Indicates that one area previously had a different name while remaining within the same larger encompassing area.
  • E. landsPreviouslyBelongedTo
    Indicates that the specified lands were owned, controlled, or possessed by a different party at an earlier time.
  • 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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff9bed58dc8190a204816d4ed6c32c completed May 9, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69ff9b69653c81908ab0d88055a66a88 completed May 9, 2026, 8:39 p.m.
Created at: May 3, 2026, 4:11 p.m.