Triple

T9901529
Position Surface form Disambiguated ID Type / Status
Subject Ruth Rogers E182292 entity
Predicate basedIn P40 FINISHED
Object Hammersmith, London 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, London | Statement: [Ruth Rogers, basedIn, Hammersmith, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammersmith, London
Context triple: [Ruth Rogers, basedIn, Hammersmith, London]
  • A. Hammersmith, London, England
    Hammersmith is a vibrant district in West London known for its commercial centers, riverside pubs, and role as a major transport and cultural hub.
  • B. Hammersmith chosen
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • C. Ealing, London
    Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
  • D. Shepherd’s Bush
    Shepherd’s Bush is a vibrant district in West London known for its major shopping center Westfield London, diverse community, and busy transport hub around Shepherd’s Bush Green.
  • E. Lambeth, London, England
    Lambeth is a central London district on the south bank of the River Thames, known for its historic parish, diverse communities, and proximity to landmarks such as Westminster and the South Bank.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d92624c81909f5a8af8703ead09 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:40 p.m.