Triple

T13228731
Position Surface form Disambiguated ID Type / Status
Subject Kishanganj E314951 entity
Predicate religiousDemographicsFeature P33575 FINISHED
Object high Muslim population share 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: high Muslim population share | Statement: [Kishanganj, religiousDemographicsFeature, high Muslim population share]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousDemographicsFeature
Context triple: [Kishanganj, religiousDemographicsFeature, high Muslim population share]
  • A. religiousDemographyChange
    Indicates a change over time in the religious composition or affiliation distribution within a population or region.
  • B. religiousCharacteristic chosen
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • C. religiousConstituency
    Indicates that one entity serves as a religious constituency or faith-based voter base for another entity, typically in a political or organizational context.
  • D. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • E. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:21 p.m.