Triple

T10386258
Position Surface form Disambiguated ID Type / Status
Subject Overhoeks E244769 entity
Predicate hasPublicSpace P105 FINISHED
Object Overhoekspark E859074 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: Overhoekspark | Statement: [Overhoeks, hasPublicSpace, Overhoekspark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Overhoekspark
Context triple: [Overhoeks, hasPublicSpace, Overhoekspark]
  • A. Overhoekspark chosen
    Overhoekspark is a modern urban green space in Amsterdam’s Overhoeks district, offering landscaped areas, waterfront views, and recreational facilities near the IJ river.
  • 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. Oosterpark
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • D. Bergwijkpark
    Bergwijkpark is a residential and business neighborhood in the Dutch town of Diemen, located just southeast of Amsterdam.
  • E. Groenendaal park
    Groenendaal park is a historic woodland and recreational park in Heemstede, the Netherlands, known for its walking paths, ponds, and natural scenery.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a42e748190b10fa7b4ca006bad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fba398b88190ae3223218bf53ca7 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:05 p.m.