Triple

T2793843
Position Surface form Disambiguated ID Type / Status
Subject Ligerz E61988 entity
Predicate hasMunicipalWebsite P30293 FINISHED
Object official website of Ligerz municipality 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: official website of Ligerz municipality | Statement: [Ligerz, hasMunicipalWebsite, official website of Ligerz municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalWebsite
Context triple: [Ligerz, hasMunicipalWebsite, official website of Ligerz municipality]
  • A. hasLocalGovernmentWebsite chosen
    Indicates that an entity has an official website specifically for its local government or municipal administration.
  • B. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • C. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • D. hasUniversityWebsite
    Indicates that a university is associated with a specific official website.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd33610819085ac7c5bec0e6af0 completed March 7, 2026, 8:12 a.m.
PD Predicate disambiguation batch_69abdd040f9481908e9c7a2df88ea1ae completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.