Triple

T1539274
Position Surface form Disambiguated ID Type / Status
Subject Masterpiece Cakeshop, Ltd. E32826 entity
Predicate religiousAffiliationOfOwner P45 FINISHED
Object 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: Christian | Statement: [Masterpiece Cakeshop, Ltd., religiousAffiliationOfOwner, Christian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfOwner
Context triple: [Masterpiece Cakeshop, Ltd., religiousAffiliationOfOwner, Christian]
  • A. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. 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).
  • C. formerReligiousAffiliation
    Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
  • D. 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.
  • E. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.