Triple

T18938050
Position Surface form Disambiguated ID Type / Status
Subject St Mary’s Church, Hopesay E463301 entity
Predicate locatedIn P40 FINISHED
Object Hopesay 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: Hopesay | Statement: [St Mary’s Church, Hopesay, locatedIn, Hopesay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hopesay
Context triple: [St Mary’s Church, Hopesay, locatedIn, Hopesay]
  • A. Hopesay chosen
    Hopesay is a small rural village in Shropshire, England, known for its historic church and scenic countryside near the town of Craven Arms.
  • B. Haimos
    Haimos is a figure from Greek mythology known primarily as a sibling of Ida.
  • C. Valsayn
    Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
  • D. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • E. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e8fdb48190ae70cb23c5bc2c97 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.