Triple

T277549
Position Surface form Disambiguated ID Type / Status
Subject OX E5280 entity
Predicate hasPostTown P2711 FINISHED
Object Banbury
Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
E38824 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: Banbury | Statement: [OX, hasPostTown, Banbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banbury
Context triple: [OX, hasPostTown, Banbury]
  • A. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • B. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • C. Guildford
    Guildford is a historic market town in southeast England known for its medieval architecture, university, and role as a commercial and cultural hub in the region.
  • D. Sunbury-on-Thames
    Sunbury-on-Thames is a suburban town on the River Thames in south-east England, historically part of Middlesex and now within the borough of Spelthorne.
  • E. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • 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: Banbury
Triple: [OX, hasPostTown, Banbury]
Generated description
Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banbury
Target entity description: Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • A. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • B. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • C. Guildford
    Guildford is a historic market town in southeast England known for its medieval architecture, university, and role as a commercial and cultural hub in the region.
  • D. Sunbury-on-Thames
    Sunbury-on-Thames is a suburban town on the River Thames in south-east England, historically part of Middlesex and now within the borough of Spelthorne.
  • E. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25ded68c88190b1fc595ce329aeb9 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3ab9c2ac4819089557c7f0335c520 completed March 1, 2026, 2:59 a.m.
NEDg Description generation batch_69a3ac033024819090d3dadfa388157e completed March 1, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69a3ac553b888190945c5f090626efb5 completed March 1, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.