Triple

T16327551
Position Surface form Disambiguated ID Type / Status
Subject Walcheren Island E396461 entity
Predicate connectedTo P37 FINISHED
Object Beveland E311547 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: Beveland | Statement: [Walcheren Island, connectedTo, Beveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beveland
Context triple: [Walcheren Island, connectedTo, Beveland]
  • A. Zuid-Beveland
    Zuid-Beveland is a peninsula and region in the southwest of the Netherlands known for its reclaimed polders, dike landscapes, and agricultural villages.
  • B. North Beveland chosen
    North Beveland is a small island and municipality in the Dutch province of Zeeland, known for its rural landscape, coastal scenery, and agricultural character.
  • C. Sheringham
    Sheringham is a seaside town and popular tourist resort on the north coast of Norfolk, England, known for its beaches, heritage railway, and access to coastal walking paths.
  • D. Westhavelland
    Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
  • E. Saterland
    Saterland is a small municipality in Lower Saxony, Germany, known as the last stronghold of the Saterland Frisian language and culture.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dcd034819081d849003d918245 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260f487c81909e3e54e47c11b83a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.