Triple

T32022533
Position Surface form Disambiguated ID Type / Status
Subject Louvre INV 1980 E817731 entity
Predicate associatedReligionOfWork P102165 FINISHED
Object Christianity E348 NE 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: Christianity | Statement: [Louvre INV 1980, associatedReligionOfWork, Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedReligionOfWork
Context triple: [Louvre INV 1980, associatedReligionOfWork, Christianity]
  • A. religionRelatedWork
    Indicates that a work (such as a text, artwork, or project) is related to, concerned with, or produced in the context of a particular religion or religious tradition.
  • B. associatedReligionRole
    Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
  • C. 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.
  • D. associatedReligionOrBelief chosen
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • E. religiousWorkType
    Indicates the specific type or category of religious work or activity associated with an entity.
  • F. None of above.

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_69f348fb04e4819081f4eab040ed7959 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed4eb88b08190a3bc7793354ac43b completed June 14, 2026, 4:20 p.m.
PD Predicate disambiguation batch_6a0379eaa540819095a1c5d9f3513f9b completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:17 a.m.