Triple

T11254626
Position Surface form Disambiguated ID Type / Status
Subject Sauwerd railway station E266405 entity
Predicate serves P98 FINISHED
Object Sauwerd E266405 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: Sauwerd | Statement: [Sauwerd railway station, serves, Sauwerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauwerd
Context triple: [Sauwerd railway station, serves, Sauwerd]
  • A. Sauwerd chosen
    Sauwerd is a small village in the Dutch province of Groningen, known for its rural character and location along the railway between Groningen and Roodeschool.
  • B. Spiekeroog
    Spiekeroog is a car-free German North Sea island known for its tranquil beaches, dunes, and traditional Frisian village atmosphere.
  • C. Schiermonnikoog
    Schiermonnikoog is a small Dutch Wadden Sea island known for its protected natural landscapes, extensive beaches, and status as a largely car-free national park destination.
  • D. Hoeksche Waard island
    Hoeksche Waard island is a largely rural island and region in South Holland, Netherlands, known for its agricultural landscape and small towns.
  • E. Schouwen-Duiveland island
    Schouwen-Duiveland island is a Dutch North Sea island in the province of Zeeland, known for its coastal landscapes, beaches, and role in the Delta Works flood protection system.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc941d34819099ae30713bdd03e5 completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.