Triple

T22010736
Position Surface form Disambiguated ID Type / Status
Subject Geel E543565 entity
Predicate locatedOnRiver P165 FINISHED
Object Kleine Nete 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: Kleine Nete | Statement: [Geel, locatedOnRiver, Kleine Nete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleine Nete
Context triple: [Geel, locatedOnRiver, Kleine Nete]
  • A. Kleine Nete chosen
    The Kleine Nete is a river in northern Belgium that serves as one of the two main headstreams forming the Nete River.
  • B. Kleine Nethe
    Kleine Nethe is a small river in Belgium that serves as one of the main tributaries of the Nethe River in the Antwerp region.
  • C. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • D. Nahe
    Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.