Triple

T10100176
Position Surface form Disambiguated ID Type / Status
Subject Southfields E216178 entity
Predicate adjacentTo P224 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: [Southfields, adjacentTo, Roehampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roehampton
Context triple: [Southfields, adjacentTo, 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09878f88190bcfa2c81fb10e821 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbeef9a08190a2267f6c7de81170 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:02 p.m.