Triple

T3424776
Position Surface form Disambiguated ID Type / Status
Subject Canterbury E72201 entity
Predicate hasLandmark P105 FINISHED
Object St Martin's Church E180977 NE 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: St Martin's Church | Statement: [Canterbury, hasLandmark, St Martin's Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Martin's Church
Context triple: [Canterbury, hasLandmark, St Martin's Church]
  • A. St Martin's Church chosen
    St Martin's Church is an ancient Christian church in Canterbury, England, renowned as one of the oldest continuously used parish churches in the English-speaking world and part of the Canterbury World Heritage Site.
  • B. St. Martin’s Church
    St. Martin’s Church is a historic Christian church and notable architectural landmark located in the city of Kaiserslautern, Germany.
  • C. St Mary Magdalene Church
    St Mary Magdalene Church is a historic Christian parish church serving the village community of Pentney in Norfolk, England.
  • D. St Mary Magdalene Church
    St Mary Magdalene Church is a historic Christian church located in the seaside town of Torquay in Devon, England.
  • E. St Mary’s Church
    St Mary’s Church is a historic Christian parish church serving the community of St Neots in Cambridgeshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb97fa2d88190a79cb8c7be4b3696 completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354766bcc81909fb3124262c93f8f completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.