Triple

T21285013
Position Surface form Disambiguated ID Type / Status
Subject Alblasserwaard E524632 entity
Predicate contains P35 FINISHED
Object Sliedrecht NE NERFINISHED

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: Sliedrecht | Statement: [Alblasserwaard, contains, Sliedrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sliedrecht
Context triple: [Alblasserwaard, contains, Sliedrecht]
  • A. Sliedrecht chosen
    Sliedrecht is a town in the western Netherlands known for its historic shipbuilding and dredging industries along the river Merwede.
  • B. Duivendrecht
    Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
  • C. Mijdrecht
    Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
  • D. Loosdrecht
    Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
  • E. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d658e08190ad2f267123d53ede completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.