Triple

T21925720
Position Surface form Disambiguated ID Type / Status
Subject Buxted E541438 entity
Predicate hasReligiousSite P916 FINISHED
Object St Margaret the Queen 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: St Margaret the Queen | Statement: [Buxted, hasReligiousSite, St Margaret the Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Margaret the Queen
Context triple: [Buxted, hasReligiousSite, St Margaret the Queen]
  • A. St Margaret the Queen chosen
    St Margaret the Queen is a historic Anglican parish church serving the village of Buxted in East Sussex, England.
  • B. St Margaret
    St Margaret is a Christian saint venerated in various traditions, often associated with purity, martyrdom, and patronage of childbirth.
  • C. Saint Mary of Grace
    Saint Mary of Grace is the English name for the renowned Milanese church and Dominican convent best known for housing Leonardo da Vinci’s mural “The Last Supper.”
  • D. St. Mary
    St. Mary is a small community and gateway area on the eastern edge of Glacier National Park in Montana, serving as a major access point for park visitors.
  • E. St Margarets
    St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fa40c48190b80a85e562ea2591 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.