Triple

T9335588
Position Surface form Disambiguated ID Type / Status
Subject Warandepark E224634 entity
Predicate nativeName P15 FINISHED
Object Warandepark E224634 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: Warandepark | Statement: [Warandepark, nativeName, Warandepark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warandepark
Context triple: [Warandepark, nativeName, Warandepark]
  • A. Warandepark chosen
    Warandepark is a historic public park in central Brussels, Belgium, known for its formal layout, statues, and proximity to key government and royal buildings.
  • B. Weltevreden Park
    Weltevreden Park is a residential suburb in the Roodepoort area of Johannesburg, South Africa, known for its family-friendly environment and proximity to major city amenities.
  • C. Groenendaal park
    Groenendaal park is a historic woodland and recreational park in Heemstede, the Netherlands, known for its walking paths, ponds, and natural scenery.
  • D. Bouckenborgh Park
    Bouckenborgh Park is a public green space in the Antwerp district of Merksem, known for its historic castle, ponds, and recreational areas.
  • E. Willemspark
    Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37f031888190a90d263d225d163c completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3d8316081908cb9ea36eb069c2d completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:40 p.m.