Triple

T5657585
Position Surface form Disambiguated ID Type / Status
Subject David Hartley E124656 entity
Predicate birthPlace P1 FINISHED
Object Armley
Armley is a district of Leeds in West Yorkshire, England, known historically as an industrial and working-class area.
E537763 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: Armley | Statement: [David Hartley, birthPlace, Armley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armley
Context triple: [David Hartley, birthPlace, Armley]
  • A. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • B. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • C. Brighouse
    Brighouse is a market and industrial town in the metropolitan borough of Calderdale in northern England.
  • D. Batley
    Batley is a market town in West Yorkshire, England, situated between Leeds and Huddersfield in the metropolitan borough of Kirklees.
  • E. Keighley
    Keighley is a historic industrial town in northern England known for its textile heritage and proximity to the Yorkshire Dales.
  • 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: Armley
Triple: [David Hartley, birthPlace, Armley]
Generated description
Armley is a district of Leeds in West Yorkshire, England, known historically as an industrial and working-class area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armley
Target entity description: Armley is a district of Leeds in West Yorkshire, England, known historically as an industrial and working-class area.
  • A. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • B. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • C. Brighouse
    Brighouse is a market and industrial town in the metropolitan borough of Calderdale in northern England.
  • D. Batley
    Batley is a market town in West Yorkshire, England, situated between Leeds and Huddersfield in the metropolitan borough of Kirklees.
  • E. Keighley
    Keighley is a historic industrial town in northern England known for its textile heritage and proximity to the Yorkshire Dales.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fc54f08190aacc200be31a4256 completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9ec1248190aff680acb4064a49 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.