Triple

T22172589
Position Surface form Disambiguated ID Type / Status
Subject Township of Springwater E547958 entity
Predicate hasCommunity P2605 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: [Township of Springwater, hasCommunity, Dalston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalston
Context triple: [Township of Springwater, hasCommunity, Dalston]
  • A. Dalston
    Dalston is a vibrant, rapidly gentrifying district in East London known for its nightlife, diverse community, and creative arts scene.
  • B. Dalston chosen
    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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.