Triple

T7500441
Position Surface form Disambiguated ID Type / Status
Subject Minden E177242 entity
Predicate hasTwinTown P919 FINISHED
Object Haringey E614139 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: Haringey | Statement: [Minden, hasTwinTown, Haringey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haringey
Context triple: [Minden, hasTwinTown, Haringey]
  • A. Haringey chosen
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • B. Redbridge
    Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
  • C. 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.
  • D. Barnet
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • E. Enfield and Haringey
    Enfield and Haringey is a London Assembly constituency in North London that elects a representative to the Greater London Authority.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9129bec8190b3c1471ac8a131ac completed April 3, 2026, 2:05 p.m.
Created at: March 27, 2026, 3:44 p.m.