Triple

T20947042
Position Surface form Disambiguated ID Type / Status
Subject Hackney South and Shoreditch E515869 entity
Predicate coversArea P175 FINISHED
Object Dalston NE NERFINISHED

How this triple was built (2 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: Dalston | Statement: [Hackney South and Shoreditch, coversArea, Dalston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalston
Context triple: [Hackney South and Shoreditch, coversArea, Dalston]
  • A. Dalston chosen
    Dalston is a vibrant, rapidly gentrifying district in East London known for its nightlife, diverse community, and creative arts scene.
  • B. Dalston
    Dalston is a village in Cumbria, England, situated near Carlisle and known for its rural character and rail connections on the Cumbrian Coast Line.
  • C. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • D. Stepney
    Stepney is a historic district in the East End of London, England, known for its working-class roots and diverse immigrant communities.
  • E. Islington
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad97aa48190b4be692e3afce8c9 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:57 p.m.