Triple

T2143924
Position Surface form Disambiguated ID Type / Status
Subject Penge E47020 entity
Predicate near P350 FINISHED
Object Sydenham
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
 E236913 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: Sydenham | Statement: [Penge, near, Sydenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sydenham
Context triple: [Penge, near, Sydenham]
  • A. Corringham
    Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
  • B. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • C. Heywood
    Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • D. Gilston
    Gilston is a small village in Hertfordshire, England, situated near the town of Harlow and known for its rural character and planned large-scale housing developments.
  • E. Shandon
    Shandon is a small rural community in California’s Central Coast region known for its agriculture and proximity to local vineyards and ranchlands.
  • 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: Sydenham
Triple: [Penge, near, Sydenham]
Generated description
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sydenham
Target entity description: Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • A. Corringham
    Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
  • B. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • C. Heywood
    Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • D. Gilston
    Gilston is a small village in Hertfordshire, England, situated near the town of Harlow and known for its rural character and planned large-scale housing developments.
  • E. Shandon
    Shandon is a small rural community in California’s Central Coast region known for its agriculture and proximity to local vineyards and ranchlands.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe223f848190a60bd0f15aed1021 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.