Triple

T26182102
Position Surface form Disambiguated ID Type / Status
Subject Great Mosque of Granada E654711 entity
Predicate successorBuildingReligiousAffiliation P132710 FINISHED
Object Catholicism NE NERFINISHED

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: Catholicism | Statement: [Great Mosque of Granada, successorBuildingReligiousAffiliation, Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorBuildingReligiousAffiliation
Context triple: [Great Mosque of Granada, successorBuildingReligiousAffiliation, Catholicism]
  • A. successorReligionAtSite chosen
    Indicates that one religion historically replaced or followed another as the primary religion practiced at a specific site.
  • B. religiousAffiliationLater
    Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
  • C. foundedReligion
    Indicates that an entity established or originated a particular religion.
  • D. dominantReligionLegacy
    Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
  • E. associatedReligionBuilding
    Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
  • 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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 26, 2026, 8:40 p.m.