Triple

T1897206
Position Surface form Disambiguated ID Type / Status
Subject River Kennet E37609 entity
Predicate passesThrough P225 FINISHED
Object Marlborough
Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
 E211708 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: Marlborough | Statement: [River Kennet, passesThrough, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Context triple: [River Kennet, passesThrough, Marlborough]
  • A. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • C. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • D. Malvern
    Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
  • E. Malvern
    Malvern is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and suburban character.
  • 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: Marlborough
Triple: [River Kennet, passesThrough, Marlborough]
Generated description
Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Target entity description: Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • A. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • C. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • D. Malvern
    Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
  • E. Malvern
    Malvern is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and suburban character.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaee6a048190afd01ab6339a2921 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb6f7f208190af892c3c25961438 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec28f9188190a58e1a9d792943f6 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.