Triple

T18085216
Position Surface form Disambiguated ID Type / Status
Subject Steenwijkerland E432815 entity
Predicate containsWaterBody P1778 FINISHED
Object De Wieden 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: De Wieden | Statement: [Steenwijkerland, containsWaterBody, De Wieden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Wieden
Context triple: [Steenwijkerland, containsWaterBody, De Wieden]
  • A. De Wieden chosen
    De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
  • B. Schildwolde
    Schildwolde is a village in the Dutch province of Groningen, known for its historic church and rural character within the municipality of Midden-Groningen.
  • C. Waier
    Waier is a small island in Australia's Torres Strait, traditionally inhabited by Torres Strait Islander peoples who speak the Meriam Mir language.
  • D. Schwansen
    Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
  • E. Kleine Werse
    Kleine Werse is a small tributary stream of the Werse River in North Rhine-Westphalia, Germany.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.