Triple

T6207106
Position Surface form Disambiguated ID Type / Status
Subject Lichfield E138775 entity
Predicate hasLandmark P105 FINISHED
Object Minster Pool E56014 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: Minster Pool | Statement: [Lichfield, hasLandmark, Minster Pool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minster Pool
Context triple: [Lichfield, hasLandmark, Minster Pool]
  • A. Minster Pool chosen
    Minster Pool is a historic ornamental lake in the center of Lichfield, England, known for its picturesque views of Lichfield Cathedral and surrounding parkland.
  • B. North Pool
    North Pool is one of the two large reflecting pools at the 9/11 Memorial in Lower Manhattan, marking the footprint of the former North Tower of the World Trade Center.
  • C. South Pool
    South Pool is one of the two large reflecting pools at the National September 11 Memorial in New York City, marking the footprint of the former South Tower of the World Trade Center.
  • D. Maer Pool
    Maer Pool is a small lake in Staffordshire, England, noted for its picturesque rural setting near Maer Hall.
  • E. Blake Mere
    Blake Mere is one of the natural meres (shallow lakes) in the Ellesmere area of Shropshire, 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06270b8d08190a81bc03c8175b989 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f4ce8888190b5cc4f1b091e88f3 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.