Triple

T9006532
Position Surface form Disambiguated ID Type / Status
Subject North Circular Road E215156 entity
Predicate passesThrough P225 FINISHED
Object Redbridge E524291 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: Redbridge | Statement: [North Circular Road, passesThrough, Redbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Redbridge
Context triple: [North Circular Road, passesThrough, Redbridge]
  • A. Redbridge chosen
    Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
  • B. Newham
    Newham is a diverse, densely populated borough in East London known for its major regeneration projects, including the Queen Elizabeth Olympic Park and surrounding developments.
  • C. Islington
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • D. Islington
    Islington is a village within the town of Westwood, Massachusetts, known as one of its primary residential neighborhoods.
  • E. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bc6e208190b0c01e3761c04799 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5a92795cc819087578d02c2c791e4 completed April 8, 2026, 1:02 a.m.
Created at: March 30, 2026, 7:05 p.m.