Triple

T3031086
Position Surface form Disambiguated ID Type / Status
Subject Test Valley district E82895 entity
Predicate contains P35 FINISHED
Object Romsey
Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
E320537 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: Romsey | Statement: [Test Valley district, contains, Romsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romsey
Context triple: [Test Valley district, contains, Romsey]
  • A. Romsey Abbey
    Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
  • B. Amesbury
    Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
  • C. Bramber
    Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
  • D. Heytesbury
    Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
  • E. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • 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: Romsey
Triple: [Test Valley district, contains, Romsey]
Generated description
Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Romsey
Target entity description: Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
  • A. Romsey Abbey
    Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
  • B. Amesbury
    Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
  • C. Bramber
    Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
  • D. Heytesbury
    Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
  • E. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aee2fec81908116939a8d773fc4 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1debd245c819081eb2dec470f9156 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfc77c1881909688d5037682fa01 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e03121148190840fc48a50c4ec0e completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.