Triple

T18085329
Position Surface form Disambiguated ID Type / Status
Subject Weerribben-Wieden wetlands E432817 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Kalenberg 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: Kalenberg | Statement: [Weerribben-Wieden wetlands, hasNearbySettlement, Kalenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalenberg
Context triple: [Weerribben-Wieden wetlands, hasNearbySettlement, Kalenberg]
  • A. Kalenberg chosen
    Kalenberg is a small waterside village in the Dutch province of Overijssel, known for its canals, reedlands, and traditional houses amid the wetlands of the Weerribben-Wieden area.
  • B. Kalenberg
    Kalenberg is a small district (Ortsteil) of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • C. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • D. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • E. Luxenberg
    Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
  • 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.