Triple

T38663992
Position Surface form Disambiguated ID Type / Status
Subject Mughal Subah of Lahore E940404 entity
Predicate hadOfficialReligionOfState P645 FINISHED
Object Sunni Islam 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: Sunni Islam | Statement: [Mughal Subah of Lahore, hadOfficialReligionOfState, Sunni Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadOfficialReligionOfState
Context triple: [Mughal Subah of Lahore, hadOfficialReligionOfState, Sunni Islam]
  • A. officialReligion chosen
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • B. roleInStateReligion
    Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
  • C. hasReligiousState
    Indicates that a political entity is officially organized as, or governed according to the principles of, a particular religion.
  • D. hadNationalChurch
    Indicates that a country or region recognized a particular church as its official or primary national religious institution.
  • E. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • 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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fce545fec881909247a3af821d21ae completed May 7, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69fce12eaeec81908cf81346b2cef6e0 completed May 7, 2026, 6:59 p.m.
Created at: May 3, 2026, 4:33 p.m.