Triple

T4698758
Position Surface form Disambiguated ID Type / Status
Subject Letters E104213 entity
Predicate containsCorrespondenceWith P58603 FINISHED
Object church leaders 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: church leaders | Statement: [Letters, containsCorrespondenceWith, church leaders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsCorrespondenceWith
Context triple: [Letters, containsCorrespondenceWith, church leaders]
  • A. partiallyCorrespondsTo
    Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
  • B. coincidesWith
    Indicates that two entities occupy the same position, time, or state such that they exactly overlap or occur together.
  • C. containsFinding
    Indicates that one entity includes, encompasses, or holds a particular finding as part of its content or results.
  • D. associatedWithMatch
    Indicates a relationship where an entity is linked or connected to a particular match or matching event.
  • E. hasCorrelativesSystem
    Indicates that one entity possesses or employs a system of correlatives—structured, corresponding elements or forms that are systematically related to each other.
  • F. None of above. chosen

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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:17 p.m.