Triple

T36814074
Position Surface form Disambiguated ID Type / Status
Subject Aberconwy Abbey E909674 entity
Predicate partlyReusedAs P95595 FINISHED
Object Parish Church of St Mary and All Saints, Conwy NE NERFINISHED

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: Parish Church of St Mary and All Saints, Conwy | Statement: [Aberconwy Abbey, partlyReusedAs, Parish Church of St Mary and All Saints, Conwy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partlyReusedAs
Context triple: [Aberconwy Abbey, partlyReusedAs, Parish Church of St Mary and All Saints, Conwy]
  • A. partiallyReusedAs chosen
    Indicates that one entity is used again as part of another entity, but only to a limited or incomplete extent rather than in its entirety.
  • B. partiallyReusable
    Indicates that an entity can be reused to some extent but not fully or indefinitely, implying limited or partial reusability.
  • C. partlyReclaimedAs
    Indicates that one entity has been partially converted, restored, or taken back into the state, use, or condition represented by the other entity.
  • D. reusedIn
    Indicates that something previously used in one context or instance is used again in another context or instance.
  • E. partlyRebuilt
    Indicates that an entity has been reconstructed or restored to some extent, but not fully.
  • 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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca93bd0481909d6eee9e950001a1 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:13 p.m.