Triple

T5911967
Position Surface form Disambiguated ID Type / Status
Subject Miséricorde campus E131482 entity
Predicate hasAdministrativeOffices P1268 FINISHED
Object central administration of the University of Fribourg 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: central administration of the University of Fribourg | Statement: [Miséricorde campus, hasAdministrativeOffices, central administration of the University of Fribourg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeOffices
Context triple: [Miséricorde campus, hasAdministrativeOffices, central administration of the University of Fribourg]
  • A. administrativeOffice
    Indicates that one entity serves as the administrative office or central administrative unit responsible for managing or overseeing the affairs of another entity.
  • B. hasCorporateOffice
    Indicates that an entity maintains a formal corporate office at a specified location or within another organizational entity.
  • C. establishedOffice
    Indicates that an entity created or set up an official office or place of operation.
  • D. hasHeadquartersBuilding
    Indicates that an organization possesses a specific building that serves as its headquarters location.
  • E. hasOffice chosen
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.