Triple

T3959111
Position Surface form Disambiguated ID Type / Status
Subject Acehnese E85855 entity
Predicate religiousInstitutionInfluence P29112 FINISHED
Object Islamic boarding schools (dayah) 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: Islamic boarding schools (dayah) | Statement: [Acehnese, religiousInstitutionInfluence, Islamic boarding schools (dayah)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousInstitutionInfluence
Context triple: [Acehnese, religiousInstitutionInfluence, Islamic boarding schools (dayah)]
  • A. influencedReligion
    Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
  • B. influencedByReligion chosen
    Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • E. religiousTrend
    Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefba878a48190a2e234d775215938 completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef8efcf3c81908ccf61d9ce26b0c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:31 p.m.