Triple

T1540665
Position Surface form Disambiguated ID Type / Status
Subject Camden E32857 entity
Predicate hasNeighbour P5707 FINISHED
Object Barnet E149645 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: Barnet | Statement: [Camden, hasNeighbour, Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnet
Context triple: [Camden, hasNeighbour, Barnet]
  • A. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • B. Hillingdon
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • C. London Borough of Barnet chosen
    The London Borough of Barnet is a large suburban borough in North London known for its residential neighborhoods, green spaces, and diverse communities.
  • D. London Borough of Brent
    The London Borough of Brent is a diverse and densely populated borough in northwest London, known for landmarks such as Wembley Stadium and its vibrant multicultural communities.
  • E. 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.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61faaaa4819089120e25f4bcb0f6 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de5dc6e88190beda5545a2e2f84c completed March 11, 2026, 9:27 p.m.
Created at: March 4, 2026, 7:26 p.m.