Triple

T9920684
Position Surface form Disambiguated ID Type / Status
Subject Nunhead E187784 entity
Predicate adjacentTo P224 FINISHED
Object Brockley E395708 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: Brockley | Statement: [Nunhead, adjacentTo, Brockley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brockley
Context triple: [Nunhead, adjacentTo, Brockley]
  • A. Brockley chosen
    Brockley is a residential district in south-east London known for its Victorian and Edwardian housing, vibrant arts scene, and strong community atmosphere.
  • B. Snaresbrook
    Snaresbrook is a suburban area in East London known for its leafy residential streets, proximity to Epping Forest, and its Central line Underground station.
  • 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. Brimsdown
    Brimsdown is a suburban area in the London Borough of Enfield, known for its railway station on the line between London Liverpool Street and Hertford East and its mix of residential and industrial zones.
  • E. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5699bc48190961e036d1131fef0 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb12ac9c819087a182c12653792c completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 8:42 p.m.