Triple

T10100148
Position Surface form Disambiguated ID Type / Status
Subject Southfields E216178 entity
Predicate partOf P40 FINISHED
Object Wandsworth E142567 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: Wandsworth | Statement: [Southfields, partOf, Wandsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wandsworth
Context triple: [Southfields, partOf, Wandsworth]
  • A. Wandsworth chosen
    Wandsworth is a district in southwest London, England, known for its riverside location on the River Thames and its mix of residential, commercial, and green spaces.
  • B. 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.
  • C. West Croydon
    West Croydon is a key transport hub in the London Borough of Croydon, serving as an interchange for trams, trains, and buses.
  • 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. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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_69cdd07d686481908d9bb91392954474 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9333d2e708190b0c8ec679bcb6ade completed April 10, 2026, 5:28 p.m.
Created at: March 30, 2026, 9:02 p.m.