Triple

T9006533
Position Surface form Disambiguated ID Type / Status
Subject North Circular Road E215156 entity
Predicate passesThrough P225 FINISHED
Object Newham E525534 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: Newham | Statement: [North Circular Road, passesThrough, Newham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newham
Context triple: [North Circular Road, passesThrough, Newham]
  • A. Newham chosen
    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.
  • B. Redbridge
    Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
  • C. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • D. Walthamstow
    Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
  • 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_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_69d5b790737c8190930dc863ffe95035 completed April 8, 2026, 2:04 a.m.
Created at: March 30, 2026, 7:05 p.m.