Triple

T16124546
Position Surface form Disambiguated ID Type / Status
Subject Islington E391232 entity
Predicate contains P35 FINISHED
Object Islington Green E483882 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 Green | Statement: [Islington, contains, Islington Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islington Green
Context triple: [Islington, contains, Islington Green]
  • A. Islington Green chosen
    Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
  • B. Camberwell Green
    Camberwell Green is a small public park and historic civic space in the district of Camberwell in south London.
  • C. Ealing Green
    Ealing Green is a small historic green and surrounding area in the London Borough of Ealing, known for its village-like feel, period architecture, and proximity to Ealing’s town center.
  • D. Parsons Green
    Parsons Green is a leafy residential area and public green in the Fulham district of southwest London, known for its village-like atmosphere, pubs, and proximity to the River Thames.
  • E. Edmonton Green
    Edmonton Green is a major shopping, residential, and transport hub in the Edmonton area of north London.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5 a.m.