Triple

T3984644
Position Surface form Disambiguated ID Type / Status
Subject North London E86841 entity
Predicate contains P35 FINISHED
Object Islington E391232 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: Islington | Statement: [North London, contains, Islington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islington
Context triple: [North London, contains, Islington]
  • A. Islington chosen
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • B. Highbury & Islington
    Highbury & Islington is a major London transport hub in Islington served by London Underground, London Overground, and National Rail services.
  • C. Stoke Newington
    Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
  • D. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • E. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd678c2c088190a67867248f89c46a completed March 20, 2026, 3:28 p.m.
Created at: March 9, 2026, 3:33 p.m.