Triple

T2844797
Position Surface form Disambiguated ID Type / Status
Subject Piccadilly line E62557 entity
Predicate servesStation P839 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: [Piccadilly line, servesStation, Hammersmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammersmith
Context triple: [Piccadilly line, servesStation, 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c7f8c4819097be8b80d4064806 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 10:02 p.m.