Triple

T2499592
Position Surface form Disambiguated ID Type / Status
Subject Wythenshawe E52431 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Peel Hall
Peel Hall is a residential area within the Wythenshawe district of Manchester, England.
E273314 NE FINISHED

How this triple was built (4 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: Peel Hall | Statement: [Wythenshawe, hasNeighbourhood, Peel Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peel Hall
Context triple: [Wythenshawe, hasNeighbourhood, Peel Hall]
  • A. Peel Hall
    Peel Hall is a tram stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • B. Pound Hall
    Pound Hall is a major academic and administrative building at Harvard Law School that houses classrooms, faculty offices, and legal research facilities.
  • C. Lostock Hall
    Lostock Hall is a suburban village in South Ribble, Lancashire, England, situated near the town of Leyland and forming part of the wider Preston urban area.
  • D. Frere Hall
    Frere Hall is a historic British colonial-era building and cultural landmark in Karachi, Pakistan, known for its Venetian-Gothic architecture and public gardens.
  • E. Botterell Hall
    Botterell Hall is a major academic and research building at Queen's University in Kingston, Ontario, primarily housing facilities for the Faculty of Health Sciences and medical research.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peel Hall
Triple: [Wythenshawe, hasNeighbourhood, Peel Hall]
Generated description
Peel Hall is a residential area within the Wythenshawe district of Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peel Hall
Target entity description: Peel Hall is a residential area within the Wythenshawe district of Manchester, England.
  • A. Peel Hall
    Peel Hall is a tram stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • B. Pound Hall
    Pound Hall is a major academic and administrative building at Harvard Law School that houses classrooms, faculty offices, and legal research facilities.
  • C. Lostock Hall
    Lostock Hall is a suburban village in South Ribble, Lancashire, England, situated near the town of Leyland and forming part of the wider Preston urban area.
  • D. Frere Hall
    Frere Hall is a historic British colonial-era building and cultural landmark in Karachi, Pakistan, known for its Venetian-Gothic architecture and public gardens.
  • E. Botterell Hall
    Botterell Hall is a major academic and research building at Queen's University in Kingston, Ontario, primarily housing facilities for the Faculty of Health Sciences and medical research.
  • F. None of above. chosen

Provenance (5 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af23a305a48190b457b1b66779b90d completed March 9, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69af240855848190947190a662745b77 completed March 9, 2026, 7:48 p.m.
Created at: March 6, 2026, 9:46 p.m.