Triple

T1602188
Position Surface form Disambiguated ID Type / Status
Subject Chat Moss E34417 entity
Predicate near P350 FINISHED
Object Glazebrook
Glazebrook is a village in Greater Manchester, England, known for its rural setting and proximity to the Chat Moss peat bog.
E187346 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: Glazebrook | Statement: [Chat Moss, near, Glazebrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glazebrook
Context triple: [Chat Moss, near, Glazebrook]
  • A. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • B. Gowland
    Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
  • C. Bamford
    Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
  • D. Bamford
    Bamford is a suburban residential area and ward within the town of Rochdale in Greater Manchester, England.
  • E. Midgley
    Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
  • 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: Glazebrook
Triple: [Chat Moss, near, Glazebrook]
Generated description
Glazebrook is a village in Greater Manchester, England, known for its rural setting and proximity to the Chat Moss peat bog.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glazebrook
Target entity description: Glazebrook is a village in Greater Manchester, England, known for its rural setting and proximity to the Chat Moss peat bog.
  • A. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • B. Gowland
    Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
  • C. Bamford
    Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
  • D. Bamford
    Bamford is a suburban residential area and ward within the town of Rochdale in Greater Manchester, England.
  • E. Midgley
    Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62292d1c819080b597199dc6b8d5 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680e8c908190a62a0a2f92a2b335 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69017e448190b337337431c6f797 completed March 8, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ad6966c3108190bf2519f698dd3903 completed March 8, 2026, 12:19 p.m.
Created at: March 4, 2026, 7:28 p.m.