Triple

T3471025
Position Surface form Disambiguated ID Type / Status
Subject Lambeth E73257 entity
Predicate borderedBy P224 FINISHED
Object Croydon E329561 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: Croydon | Statement: [Lambeth, borderedBy, Croydon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croydon
Context triple: [Lambeth, borderedBy, Croydon]
  • A. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • B. Wandsworth
    Wandsworth is a district in southwest London, England, known for its riverside location on the River Thames and its mix of residential, commercial, and green spaces.
  • C. Croydon town centre chosen
    Croydon town centre is a major commercial and retail hub in south London, known for its shopping centres, offices, and transport connections.
  • D. Bromley
    Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
  • E. Islington
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d9643881909737836640c22802 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:17 p.m.