Triple

T7433932
Position Surface form Disambiguated ID Type / Status
Subject Knightsridge E171561 entity
Predicate hasNearbyArea P4647 FINISHED
Object Ladywell E149947 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: Ladywell | Statement: [Knightsridge, hasNearbyArea, Ladywell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladywell
Context triple: [Knightsridge, hasNearbyArea, Ladywell]
  • A. Ladywell chosen
    Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • B. Ladywell
    Ladywell is a residential district in the London Borough of Lewisham, known for its local high street, green spaces, and commuter rail links into central London.
  • C. Saltwell
    Saltwell is a British Labour Party politician who served as the Member of Parliament for Newcastle upon Tyne West in the early 20th century.
  • D. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • E. Backwell
    Backwell is a village and civil parish in North Somerset, England, known for its commuter links to Bristol and its mix of rural and suburban character.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f327480481909c4691fd3333e2ae completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827829a848190afca7b5f79c51c7c completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:13 p.m.