Triple

T10537545
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam-Zuidoost E248610 entity
Predicate contains P35 FINISHED
Object Bullewijk E63536 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: Bullewijk | Statement: [Amsterdam-Zuidoost, contains, Bullewijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bullewijk
Context triple: [Amsterdam-Zuidoost, contains, Bullewijk]
  • A. Bullewijk chosen
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • B. Westwijk
    Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
  • C. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • D. Bezuidenhout
    Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9136bc8190b35685376da7007e completed May 2, 2026, 8:29 p.m.
Created at: April 6, 2026, 12:31 p.m.