Triple

T31890855
Position Surface form Disambiguated ID Type / Status
Subject Masonic Village at Elizabethtown E814140 entity
Predicate religiousOrIdeologicalAffiliation P102165 FINISHED
Object Masonic 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: Masonic | Statement: [Masonic Village at Elizabethtown, religiousOrIdeologicalAffiliation, Masonic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrIdeologicalAffiliation
Context triple: [Masonic Village at Elizabethtown, religiousOrIdeologicalAffiliation, Masonic]
  • A. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. religiousSpectrum
    Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
  • C. religiousAlliance
    Indicates a cooperative relationship formed between entities based on shared religious beliefs, institutions, or objectives.
  • D. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • E. associatedReligionOrBelief chosen
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • 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_69f348ef817481908440e2250319bcc8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: April 30, 2026, 11:58 p.m.