Triple

T2685002
Position Surface form Disambiguated ID Type / Status
Subject Peperga E57463 entity
Predicate partOf P40 FINISHED
Object Weststellingwerf E291122 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: Weststellingwerf | Statement: [Peperga, partOf, Weststellingwerf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weststellingwerf
Context triple: [Peperga, partOf, Weststellingwerf]
  • A. Weststellingwerf chosen
    Weststellingwerf is a municipality in the province of Friesland in the northern Netherlands, known for its rural landscape and small villages.
  • B. Scheveningen
    Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
  • C. Oosterdokseiland
    Oosterdokseiland is a modern waterfront district in central Amsterdam known for its cultural attractions, contemporary architecture, and mixed-use developments.
  • D. Ouddorp
    Ouddorp is a coastal village in the Netherlands known for its wide North Sea beaches and dunes, popular for tourism and water sports.
  • E. Stellendam
    Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb679d5bc8190b2dd4edeaf09b1e7 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:54 p.m.