Triple

T14194820
Position Surface form Disambiguated ID Type / Status
Subject Filipino people E351808 entity
Predicate majorReligionPercentageApprox P2986 FINISHED
Object majority 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: majority Christian | Statement: [Filipino people, majorReligionPercentageApprox, majority Christian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorReligionPercentageApprox
Context triple: [Filipino people, majorReligionPercentageApprox, majority Christian]
  • A. dominantReligion chosen
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • B. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • C. majorityReligionInUrbanAreas
    Indicates that a specified religion is the predominant or most widely practiced faith within the urban areas of a given region or population.
  • D. religionInCountry
    Indicates that a particular religion is practiced, present, or recognized within a specified country.
  • E. dominantReligionLegacy
    Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:04 a.m.