Triple

T5838904
Position Surface form Disambiguated ID Type / Status
Subject Barnes E129542 entity
Predicate locatedNorthOf P305 FINISHED
Object Roehampton E216177 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: Roehampton | Statement: [Barnes, locatedNorthOf, Roehampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roehampton
Context triple: [Barnes, locatedNorthOf, Roehampton]
  • A. Roehampton chosen
    Roehampton is a suburban district in southwest London, England, known for its large housing estates, green spaces, and the University of Roehampton.
  • B. Walham Green
    Walham Green is a historic area within the London district of Fulham, known for its residential streets and proximity to Fulham Broadway.
  • C. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • D. Camberwell
    Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
  • E. South Kensington
    South Kensington is a London Underground station in West London, known for serving the museum district including the Natural History Museum, Science Museum, and Victoria and Albert Museum.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.