Triple

T2464088
Position Surface form Disambiguated ID Type / Status
Subject Beverwijck E55201 entity
Predicate hasMunicipalInstitution P3379 FINISHED
Object local court of justice 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: local court of justice | Statement: [Beverwijck, hasMunicipalInstitution, local court of justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalInstitution
Context triple: [Beverwijck, hasMunicipalInstitution, local court of justice]
  • A. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • B. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • C. hasMunicipalFormation
    Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
  • D. hasLocalGovernmentBody chosen
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • E. hasMunicipalService
    Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0b3ea308190a6d8499c2a542c50 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.