Triple

T10863083
Position Surface form Disambiguated ID Type / Status
Subject Battersea College of Technology E256455 entity
Predicate locatedIn P40 FINISHED
Object Battersea E55245 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: Battersea | Statement: [Battersea College of Technology, locatedIn, Battersea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battersea
Context triple: [Battersea College of Technology, locatedIn, Battersea]
  • A. Battersea chosen
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • B. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • C. 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.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75152f93081909a8186bab5efaf97 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbce653481909b201a2d5871e129 completed April 19, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:20 p.m.