Triple

T22607220
Position Surface form Disambiguated ID Type / Status
Subject Lake District, Southern Fells E566592 entity
Predicate contains P35 FINISHED
Object Grey Friar 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: Grey Friar | Statement: [Lake District, Southern Fells, contains, Grey Friar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grey Friar
Context triple: [Lake District, Southern Fells, contains, Grey Friar]
  • A. Grey Friar chosen
    Grey Friar is a fell in England’s Lake District, known for its rugged terrain and panoramic views over the Southern Fells.
  • B. Grey Friars
    Grey Friars were members of the Franciscan religious order, known for their grey habits and commitment to poverty and preaching throughout medieval Europe.
  • C. Lanark Tolbooth
    Lanark Tolbooth is a historic former municipal building and jail in the Scottish town of Lanark, notable for its traditional tolbooth architecture and role in the town’s civic life.
  • D. Greyfriars Tower
    Greyfriars Tower is a historic medieval church tower and prominent landmark in King’s Lynn, Norfolk, England.
  • E. Temple Row
    Temple Row is a central street in Birmingham, England, known for its historic buildings, proximity to St. Philip’s Cathedral, and role in the city’s business district.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e75658819089153eab7563540c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:55 p.m.