Triple

T622385
Position Surface form Disambiguated ID Type / Status
Subject Poznań E14540 entity
Predicate isAcademicCenter P17806 FINISHED
Object yes 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: yes | Statement: [Poznań, isAcademicCenter, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAcademicCenter
Context triple: [Poznań, isAcademicCenter, yes]
  • A. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • B. centralInstitutionOf
    Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
  • C. hasAcademicAffiliation
    Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
  • D. isPublicInstitutionCampus
    Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
  • E. isPublicInstitution
    Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
  • F. None of above. chosen

Provenance (4 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49d0069d0819087c83b608f6fc053 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49e2107548190af0c1d67cfa475d1 completed March 1, 2026, 8:14 p.m.
Created at: March 1, 2026, 7:35 p.m.