Triple

T3751336
Position Surface form Disambiguated ID Type / Status
Subject West London E81336 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Hammersmith E81474 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: Hammersmith | Statement: [West London, hasAdministrativeCenter, Hammersmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammersmith
Context triple: [West London, hasAdministrativeCenter, Hammersmith]
  • A. Hammersmith chosen
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • B. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • C. Kensington and Chelsea
    Kensington and Chelsea is a central-west London borough known for its affluent residential areas, cultural institutions, and landmarks such as Kensington Palace and the King's Road.
  • D. St John’s Wood
    St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
  • E. 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.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb909bb4819088559f90d718f72f completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b672133044819089d54cca5ed6a063 completed March 15, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:35 p.m.