Triple

T22509083
Position Surface form Disambiguated ID Type / Status
Subject Gedling district E556467 entity
Predicate contains P35 FINISHED
Object Burton Joyce 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: Burton Joyce | Statement: [Gedling district, contains, Burton Joyce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burton Joyce
Context triple: [Gedling district, contains, Burton Joyce]
  • A. Burton Joyce chosen
    Burton Joyce is a village in Nottinghamshire, England, situated on the River Trent a few miles east of Nottingham.
  • B. James Burrough
    James Burrough was a 19th-century English pharmacist and distiller best known for creating and developing the iconic London dry spirit Beefeater Gin.
  • C. James Burrough
    James Burrough was an 18th-century English architect and academic at the University of Cambridge, known for helping shape the university’s neoclassical architectural style.
  • D. Raymond Buckland
    Raymond Buckland was a prominent English-born Wiccan author and practitioner who helped popularize and adapt Gardnerian Wicca in the United States.
  • E. Henry Carpenter
    Henry Carpenter is the gifted young protagonist of the film "The Book of Henry," whose elaborate plan to help a neighbor drives the movie’s emotional and dramatic narrative.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.