Triple

T17028947
Position Surface form Disambiguated ID Type / Status
Subject Forest Gate E413138 entity
Predicate adjacentTo P224 FINISHED
Object Leytonstone NE NERFINISHED

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: Leytonstone | Statement: [Forest Gate, adjacentTo, Leytonstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leytonstone
Context triple: [Forest Gate, adjacentTo, Leytonstone]
  • A. Leytonstone chosen
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • B. Walthamstow
    Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
  • C. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • D. Gospel Oak
    Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
  • E. East Ham
    East Ham is a district in East London, England, known for its diverse community and historic development as a suburban area of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d858448190acfe81f10d83ed4b completed April 18, 2026, 7:04 p.m.
Created at: April 10, 2026, 5:33 a.m.