Triple

T5987129
Position Surface form Disambiguated ID Type / Status
Subject Marianne Elliott E133254 entity
Predicate workLocation P7 FINISHED
Object London’s West End E189969 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: London’s West End | Statement: [Marianne Elliott, workLocation, London’s West End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London’s West End
Context triple: [Marianne Elliott, workLocation, London’s West End]
  • A. West End of London chosen
    The West End of London is the city's famous central district known for its major shopping streets, theatres, entertainment venues, and cultural attractions.
  • B. West End
    West End is a historic neighborhood in Boston, Massachusetts, known for its mid-20th-century urban renewal that dramatically transformed its original residential character.
  • C. West End
    West End is a village and port at the western tip of Tortola in the British Virgin Islands, known as a gateway for ferries and yachting.
  • D. West End
    West End is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. West End
    West End is a largely residential and commercial area in the western portion of Alexandria, Virginia, known for its diverse communities, apartment complexes, and proximity to major transportation routes.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc38a308190a368c5c787a5fc64 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1084e9ca481909f585b3d19991a60 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:04 p.m.