Triple

T6375701
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Hackney E143459 entity
Predicate containsSettlement P847 FINISHED
Object Dalston E207329 NE FINISHED

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: [London Borough of Hackney, containsSettlement, Dalston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalston
Context triple: [London Borough of Hackney, containsSettlement, 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 (3 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683bfc7081908b15c3c9a3c72e7b completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9dd9dc8190b2aca25feda3e690 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.