Triple

T30247100
Position Surface form Disambiguated ID Type / Status
Subject Cayuga, Ontario E769084 entity
Predicate hasLocalReligiousInstitutions P1191 FINISHED
Object Christian churches 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 churches | Statement: [Cayuga, Ontario, hasLocalReligiousInstitutions, Christian churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalReligiousInstitutions
Context triple: [Cayuga, Ontario, hasLocalReligiousInstitutions, Christian churches]
  • A. hasReligiousOrganization
    Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
  • B. localReligion
    Indicates that a particular religion is practiced or holds significance within a specific local area or community.
  • C. 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.
  • D. hasPlaceOfWorship chosen
    Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
  • E. hasReligiousInstitutionType
    Indicates that an entity is associated with, or classified by, a specific type of religious institution.
  • 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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd05ba6b2c81909c62b46237d10365 completed May 7, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69fd03039e48819082b6e12c5453885a completed May 7, 2026, 9:24 p.m.
Created at: April 29, 2026, 7:39 p.m.