Triple

T13803293
Position Surface form Disambiguated ID Type / Status
Subject Esch-Uelzecht E331694 entity
Predicate locatedOnRiver P165 FINISHED
Object Alzette E569988 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: Alzette | Statement: [Esch-Uelzecht, locatedOnRiver, Alzette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alzette
Context triple: [Esch-Uelzecht, locatedOnRiver, Alzette]
  • A. Alzette chosen
    The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
  • B. Nassau-Vianden
    Nassau-Vianden was a historical county of the House of Nassau located around Vianden in present-day Luxembourg and Germany.
  • C. Clervaux
    Clervaux is a small town and commune in northern Luxembourg known for its historic castle and picturesque Ardennes setting.
  • D. Valette
    Valette is a French surname most notably associated with Pierre-Adolphe Valette, an influential early 20th-century Impressionist painter and teacher in Manchester.
  • E. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.