Triple

T19294681
Position Surface form Disambiguated ID Type / Status
Subject Robertson School of Government E482530 entity
Predicate parentOrganizationReligiousOrientation P130027 FINISHED
Object Christian 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: Christian | Statement: [Robertson School of Government, parentOrganizationReligiousOrientation, Christian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parentOrganizationReligiousOrientation
Context triple: [Robertson School of Government, parentOrganizationReligiousOrientation, Christian]
  • A. religiousOrientationOfParent
    Indicates that a parent has a particular religious orientation or affiliation.
  • B. hasParentInstitutionReligiousAffiliation chosen
    Indicates that an institution’s parent organization is associated with a particular religious affiliation.
  • C. denominationalOrientation
    Indicates the specific religious denomination or sect with which an entity is formally affiliated or aligned.
  • D. hasReligiousOrganization
    Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
  • E. religiousOrientationRole
    Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc84500c81908ac53711335ad2d9 completed April 20, 2026, 10:14 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:31 p.m.