Triple

T14031527
Position Surface form Disambiguated ID Type / Status
Subject St Mark’s Church of England Primary School E337599 entity
Predicate faithBased P45 FINISHED
Object true 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: true | Statement: [St Mark’s Church of England Primary School, faithBased, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: faithBased
Context triple: [St Mark’s Church of England Primary School, faithBased, true]
  • A. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • B. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • C. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • D. religiousSupportType
    Indicates the type or form of support provided or received in a religious or faith-based context.
  • E. theologicalBelief
    Indicates that one entity holds or endorses a specific religious or theological doctrine, view, or set of beliefs about the divine or spiritual matters.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fab17008190981f1808726fa11c completed April 14, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.