Triple

T8597379
Position Surface form Disambiguated ID Type / Status
Subject Sarphatistraat E203584 entity
Predicate near P350 FINISHED
Object Oosterpark E343100 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: Oosterpark | Statement: [Sarphatistraat, near, Oosterpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oosterpark
Context triple: [Sarphatistraat, near, Oosterpark]
  • A. Oosterpark chosen
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • B. Westeindpark
    Westeindpark is a public park located in the town of Papendrecht in the Netherlands, offering green space and recreational areas for local residents.
  • C. Noorderpark
    Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
  • D. Willemspark
    Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
  • E. Runcvoortpark
    Runcvoortpark is a public green space in the Merksem district of Antwerp, Belgium, offering recreational areas and natural surroundings for local residents.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebba872b8819098ba7525944bcce1 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:24 p.m.