Triple

T1305180
Position Surface form Disambiguated ID Type / Status
Subject Seedley E27858 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Langworthy
Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
E161820 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: Langworthy | Statement: [Seedley, hasNeighbourhood, Langworthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langworthy
Context triple: [Seedley, hasNeighbourhood, Langworthy]
  • A. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • B. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • C. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • D. Hordley
    Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
  • E. Watlington
    Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
  • 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: Langworthy
Triple: [Seedley, hasNeighbourhood, Langworthy]
Generated description
Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langworthy
Target entity description: Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
  • A. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • B. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • C. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • D. Hordley
    Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
  • E. Watlington
    Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13524d481909e8f5bb2ab91f6e4 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace55f2c288190b8315794b11a7e65 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace61b0ba08190930f9e21d28b4449 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6b543ec819080a5ddeed0273644 completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:51 p.m.