Triple

T7803066
Position Surface form Disambiguated ID Type / Status
Subject Vondelkerk, Amsterdam E180477 entity
Predicate near P350 FINISHED
Object Vondelpark E4258 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: Vondelpark | Statement: [Vondelkerk, Amsterdam, near, Vondelpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vondelpark
Context triple: [Vondelkerk, Amsterdam, near, Vondelpark]
  • A. Vondelpark chosen
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • B. Schillerpark
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • C. Volkspark Prenzlauer Berg
    Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
  • D. Gellert Park
    Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
  • E. Görlitzer Park
    Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf635a4648190af907a686d87f073 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14371e2081908d0a798d3b785c3c completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:34 p.m.