Triple

T30016663
Position Surface form Disambiguated ID Type / Status
Subject Maccabees E762614 entity
Predicate representsReligiousInstitution P148765 FINISHED
Object Jewish university 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: Jewish university | Statement: [Maccabees, representsReligiousInstitution, Jewish university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsReligiousInstitution
Context triple: [Maccabees, representsReligiousInstitution, Jewish university]
  • A. isMajorReligiousInstitutionIn
    Indicates that a major religious institution (such as a church, mosque, temple, or similar body) is located within or primarily based in a specified place or region.
  • B. religiousInstitutionLinked chosen
    Indicates that there is an established connection or association between a religious institution and another entity.
  • C. hasReligiousInstitutionType
    Indicates that an entity is associated with, or classified by, a specific type of religious institution.
  • D. religiousInstitutionShared
    Indicates that two entities are associated with or participate in the same religious institution or organization.
  • E. religiousBuildingInstanceOf
    Indicates that a specific religious building is an instance of a particular class or type of religious building.
  • 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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd6f9d600c8190acf495b7fc632e4b completed May 8, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69fd6e98a2948190a9f78c415ad23b8c completed May 8, 2026, 5:03 a.m.
Created at: April 29, 2026, 6:46 p.m.