Triple

T5064944
Position Surface form Disambiguated ID Type / Status
Subject East London E114119 entity
Predicate contains P35 FINISHED
Object Dagenham
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
 E636904 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: Dagenham | Statement: [East London, contains, Dagenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagenham
Context triple: [East London, contains, Dagenham]
  • A. Hainault
    Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
  • B. Sidcup
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • C. Dartford
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • D. 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."
  • E. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • 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: Dagenham
Triple: [East London, contains, Dagenham]
Generated description
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagenham
Target entity description: Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • A. Hainault
    Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
  • B. Sidcup
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • C. Dartford
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • D. 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."
  • E. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775058c388190bba04cff5dba997a completed March 28, 2026, 6:28 a.m.
NEDg Description generation batch_69c776cee4b08190ae2ba38a0155a3b4 completed March 28, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7777f16e08190804af2c35659d498 completed March 28, 2026, 6:38 a.m.
Created at: March 20, 2026, 1:38 p.m.