Triple

T81051
Position Surface form Disambiguated ID Type / Status
Subject Westminster Abbey E1627 entity
Predicate rebuiltInGothicStyle P607 FINISHED
Object 13th century 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: 13th century | Statement: [Westminster Abbey, rebuiltInGothicStyle, 13th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rebuiltInGothicStyle
Context triple: [Westminster Abbey, rebuiltInGothicStyle, 13th century]
  • A. rebuiltFor
    Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
  • B. renovatedBy
    Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
  • C. architecturalStyle chosen
    Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
  • D. reconstructedAfter
    Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
  • E. significantBuilding
    Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a25053ca208190a371b0d38000c2b9 completed Feb. 28, 2026, 2:17 a.m.
PD Predicate disambiguation batch_69a24eb2998c819082681da74601d446 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.