Triple

T18539672
Position Surface form Disambiguated ID Type / Status
Subject Newington E453058 entity
Predicate adjacentTo P224 FINISHED
Object Walworth 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: Walworth | Statement: [Newington, adjacentTo, Walworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walworth
Context triple: [Newington, adjacentTo, Walworth]
  • A. Walworth chosen
    Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
  • B. Walworth
    Walworth is a surname of English origin borne by various notable individuals, including American jurist Reuben H. Walworth.
  • C. Westlands
    Westlands is a prominent commercial and residential district in Nairobi known for its shopping centers, nightlife, and business hubs.
  • D. Holworthy
    Holworthy is a surname most notably associated with Sir Matthew Holworthy, a historical English figure and benefactor.
  • E. Yorkhill
    Yorkhill is a residential neighbourhood in the city of Vaughan, Ontario, known for its diverse community and proximity to Toronto.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b5863881908915a6762718d3f7 completed April 19, 2026, 8:01 p.m.
Created at: April 10, 2026, 11:37 a.m.