Triple

T1557415
Position Surface form Disambiguated ID Type / Status
Subject Ordsall E33238 entity
Predicate hasLandmark P105 FINISHED
Object Ordsall Hall E29630 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: Ordsall Hall | Statement: [Ordsall, hasLandmark, Ordsall Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ordsall Hall
Context triple: [Ordsall, hasLandmark, Ordsall Hall]
  • A. Ordsall Hall chosen
    Ordsall Hall is a historic Tudor manor house in Salford, England, renowned for its timber-framed architecture and centuries-old heritage.
  • B. Ordsall
    Ordsall is an inner-city district of Salford in Greater Manchester, England, known for its historic Ordsall Hall and proximity to Manchester city centre.
  • C. Langdell Hall
    Langdell Hall is the main library and iconic central building of Harvard Law School, housing one of the largest academic law collections in the world.
  • D. Toynbee Hall
    Toynbee Hall is a historic social reform and community center in East London, founded in 1884 as the first university settlement to combat poverty and promote social justice.
  • E. Heaton Park
    Heaton Park is a large historic public park in Manchester, England, known for its expansive green spaces, woodland, boating lake, and the Grade I listed Heaton Hall.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3710688c8190a280f03bced5601f completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.