Triple

T5173076
Position Surface form Disambiguated ID Type / Status
Subject River Brent E116730 entity
Predicate flowsThrough P225 FINISHED
Object Hanwell
Hanwell is a suburban district in the London Borough of Ealing, known for its green spaces, historic canal and river features, and residential character in West London.
 E652432 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: Hanwell | Statement: [River Brent, flowsThrough, Hanwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanwell
Context triple: [River Brent, flowsThrough, Hanwell]
  • A. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • B. Hendon
    Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
  • C. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • D. Hendon
    Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
  • E. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural 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: Hanwell
Triple: [River Brent, flowsThrough, Hanwell]
Generated description
Hanwell is a suburban district in the London Borough of Ealing, known for its green spaces, historic canal and river features, and residential character in West London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanwell
Target entity description: Hanwell is a suburban district in the London Borough of Ealing, known for its green spaces, historic canal and river features, and residential character in West London.
  • A. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • B. Hendon
    Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
  • C. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • D. Hendon
    Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
  • E. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd796f7c308190a721e33aabd499ac completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3629e008190b1ecb996355575fc completed March 28, 2026, 1:10 p.m.
NEDg Description generation batch_69c7d55ea8d88190b023d3a2deef6c29 completed March 28, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69c7d5b515f8819092873ef17d75525d completed March 28, 2026, 1:20 p.m.
Created at: March 20, 2026, 1:45 p.m.