Triple

T883964
Position Surface form Disambiguated ID Type / Status
Subject City of London E19087 entity
Predicate borderedBy P224 FINISHED
Object Hackney E143459 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: Hackney | Statement: [City of London, borderedBy, Hackney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hackney
Context triple: [City of London, borderedBy, Hackney]
  • A. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • B. Southwark
    Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
  • C. London Borough of Hackney chosen
    The London Borough of Hackney is an inner London borough in East London known for its diverse communities, vibrant arts and nightlife scenes, and rapid urban regeneration.
  • D. Lambeth
    Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
  • E. Battersea
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca531348190b47f98bc825b1307 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:39 p.m.