Triple

T11905303
Position Surface form Disambiguated ID Type / Status
Subject Biag ni Lam-ang E283256 entity
Predicate associatedReligionOrBelief P102165 FINISHED
Object precolonial indigenous beliefs 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: precolonial indigenous beliefs | Statement: [Biag ni Lam-ang, associatedReligionOrBelief, precolonial indigenous beliefs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedReligionOrBelief
Context triple: [Biag ni Lam-ang, associatedReligionOrBelief, precolonial indigenous beliefs]
  • A. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • B. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • C. bearerReligion
    Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
  • D. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • E. subjectReligion
    Indicates that the subject is associated with, practices, or adheres to a particular religion.
  • F. None of above. chosen

Provenance (4 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
PDg Predicate description generation batch_69d8d399d58c81908dab572aa82426d7 completed April 10, 2026, 10:40 a.m.
Created at: April 8, 2026, 9:44 p.m.