Triple

T4497990
Position Surface form Disambiguated ID Type / Status
Subject East Didsbury E100745 entity
Predicate near P350 FINISHED
Object Burnage
Burnage is a suburban area of Manchester, England, known primarily as a residential district with good transport links into the city.
 E446139 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: Burnage | Statement: [East Didsbury, near, Burnage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burnage
Context triple: [East Didsbury, near, Burnage]
  • A. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • B. Bauple
    Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
  • C. Biddulph
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • D. Ashbourne
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • E. Kilndown
    Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
  • 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: Burnage
Triple: [East Didsbury, near, Burnage]
Generated description
Burnage is a suburban area of Manchester, England, known primarily as a residential district with good transport links into the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burnage
Target entity description: Burnage is a suburban area of Manchester, England, known primarily as a residential district with good transport links into the city.
  • A. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • B. Bauple
    Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
  • C. Biddulph
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • D. Ashbourne
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • E. Kilndown
    Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c065e88190934eb0b1632d79bb completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c7da888190a60bd738e53156ed completed March 20, 2026, 3:29 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b6637c81909ec8529e844e7321 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 1 p.m.