Triple

T9770421
Position Surface form Disambiguated ID Type / Status
Subject Eberswalde E237109 entity
Predicate hasSubdivision P747 FINISHED
Object Westend E555646 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: Westend | Statement: [Eberswalde, hasSubdivision, Westend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westend
Context triple: [Eberswalde, hasSubdivision, Westend]
  • A. Westend chosen
    Westend is a prominent and affluent district in Frankfurt am Main, Germany, known for its elegant residential areas and concentration of banks and corporate offices.
  • B. Soho
    Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
  • C. Soho
    Soho is an inner-city district of Birmingham, England, historically known for its industrial heritage and diverse local community.
  • D. West End
    West End is an upscale neighborhood in northwest Washington, D.C., known for its luxury hotels, condominiums, and proximity to Georgetown and Dupont Circle.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd0cae548190a2d9b42ea4ecc372 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.