Triple

T17207559
Position Surface form Disambiguated ID Type / Status
Subject Acehnese people E417640 entity
Predicate majorReligionFeature P6906 FINISHED
Object strong Islamic heritage 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: strong Islamic heritage | Statement: [Acehnese people, majorReligionFeature, strong Islamic heritage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorReligionFeature
Context triple: [Acehnese people, majorReligionFeature, strong Islamic heritage]
  • A. religiousCharacteristic
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • B. majorReligionCanBe
    Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
  • C. religionSignificant chosen
    Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
  • D. officialReligion
    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).
  • E. subjectReligion
    Indicates that the subject is associated with, practices, or adheres to a particular 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc283648190b2c1f957940024aa completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.