Triple

T1504413
Position Surface form Disambiguated ID Type / Status
Subject University College London E33866 entity
Predicate hasCampus P116 FINISHED
Object Hampstead E36563 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: Hampstead | Statement: [University College London, hasCampus, Hampstead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampstead
Context triple: [University College London, hasCampus, Hampstead]
  • A. Hampstead chosen
    Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
  • B. Hampstead
    Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
  • C. Fitzrovia
    Fitzrovia is a central London neighborhood known for its mix of historic architecture, creative industries, and a vibrant dining and nightlife scene.
  • D. Herne Hill
    Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
  • E. West Brompton
    West Brompton is a residential district in West London known for its mix of Victorian architecture, local amenities, and its well-connected railway and Underground station.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a88731a8f081908b8facef7b602c02 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b07b688190a0c90796da21c4d5 completed March 8, 2026, 10:09 p.m.
Created at: March 4, 2026, 7:24 p.m.