Triple

T13061579
Position Surface form Disambiguated ID Type / Status
Subject Station Muiderpoort E329209 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: [Station Muiderpoort, near, Oosterpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oosterpark
Context triple: [Station Muiderpoort, 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. Bergwijkpark
    Bergwijkpark is a residential and business neighborhood in the Dutch town of Diemen, located just southeast of Amsterdam.
  • D. Noorderpark
    Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
  • E. Haarlemmerhout park
    Haarlemmerhout park is a historic public park in Haarlem, Netherlands, known as one of the country’s oldest parks and for housing the neoclassical Villa Welgelegen.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e7ee548190b4b18bdb1357c359 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe45c8c819080fbdf1d94376feb completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.