Triple

T30541793
Position Surface form Disambiguated ID Type / Status
Subject Bakhdida E777298 entity
Predicate religiousAffiliationMinority P102238 FINISHED
Object Syriac Orthodox Church NE NERFINISHED

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: Syriac Orthodox Church | Statement: [Bakhdida, religiousAffiliationMinority, Syriac Orthodox Church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationMinority
Context triple: [Bakhdida, religiousAffiliationMinority, Syriac Orthodox Church]
  • A. religionMinority
    Indicates that the subject’s religion is a minority faith within the relevant population or context.
  • B. religiousMajoritySubgroup
    Indicates that the referenced subgroup constitutes the largest or dominant portion of a population in terms of religious affiliation.
  • C. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • D. religiousMinorityCommunity
    Indicates a community whose members follow a religion that is numerically or socially less dominant within a larger societal or national context.
  • E. religiousMinorityCenterFor chosen
    Indicates that a place or institution serves as a central hub or focal point for a specific religious minority group.
  • 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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe1fd637c08190aa95cd2478c278cb completed May 8, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69fe19344bb481909b5e2144155e4add completed May 8, 2026, 5:11 p.m.
Created at: April 29, 2026, 8:19 p.m.