Triple

T6319178
Position Surface form Disambiguated ID Type / Status
Subject Howden E141691 entity
Predicate hasNeighbourhood P4813 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: [Howden, hasNeighbourhood, Ladywell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladywell
Context triple: [Howden, hasNeighbourhood, Ladywell]
  • A. 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.
  • B. Ladywell chosen
    Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • C. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • D. 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.
  • E. Ravenhill
    Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48485308190adc2208ad46faaa7 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.