Triple

T21882878
Position Surface form Disambiguated ID Type / Status
Subject Waterland E540332 entity
Predicate containsSettlement P847 FINISHED
Object Katwoude 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: Katwoude | Statement: [Waterland, containsSettlement, Katwoude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katwoude
Context triple: [Waterland, containsSettlement, Katwoude]
  • A. Katwoude chosen
    Katwoude is a small village in the Dutch province of North Holland, known for its rural polder landscape and traditional farms near the town of Volendam.
  • B. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • C. Diekholzen
    Diekholzen is a municipality in Lower Saxony, Germany, situated near the city of Hildesheim.
  • D. Weeden
    Weeden is a surname most notably associated with Brandon Weeden, an American football quarterback who played in the NFL.
  • E. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e890088190aa3023c78a99a536 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.