Triple

T8063303
Position Surface form Disambiguated ID Type / Status
Subject Boerenwetering E188177 entity
Predicate separates P1175 FINISHED
Object De Pijp E31903 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: De Pijp | Statement: [Boerenwetering, separates, De Pijp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Pijp
Context triple: [Boerenwetering, separates, De Pijp]
  • A. De Pijp chosen
    De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
  • B. De Hallen Haarlem
    De Hallen Haarlem is a historic complex of former civic buildings in Haarlem that now houses the Frans Hals Museum and other cultural institutions on the city’s central Grote Markt.
  • C. Haarlemmertrekvaart
    Haarlemmertrekvaart is a historic canal in the Netherlands that formed part of an early trekschuit (horse-drawn boat) route between Haarlem and Amsterdam.
  • D. Koog aan de Zaan
    Koog aan de Zaan is a village in the Dutch province of North Holland, now part of the municipality of Zaanstad and known for its historic industrial and residential character along the Zaan River.
  • E. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fce95f08190b803956a20082e95 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63da3bd08190894b2f4c977167c0 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.