Triple

T27770613
Position Surface form Disambiguated ID Type / Status
Subject Montserrat massif E701732 entity
Predicate municipalities P852 FINISHED
Object Monistrol de Montserrat 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: Monistrol de Montserrat | Statement: [Montserrat massif, municipalities, Monistrol de Montserrat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalities
Context triple: [Montserrat massif, municipalities, Monistrol de Montserrat]
  • A. municipality chosen
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • B. municipalScope
    Indicates that something falls within the authority, jurisdiction, or functional domain of a municipality or local city government.
  • C. municipalCountrySubdivision
    Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
  • D. servesAsMunicipalAuthorityFor
    Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
  • E. cityGovernment
    Indicates that a city’s governing authority has jurisdiction, control, or administrative responsibility over the referenced entity.
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 27, 2026, 4:34 p.m.