Triple

T3333407
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg City E70084 entity
Predicate traversedBy P225 FINISHED
Object Alzette River E327035 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 River | Statement: [Luxembourg City, traversedBy, Alzette River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alzette River
Context triple: [Luxembourg City, traversedBy, Alzette River]
  • A. Alzette River chosen
    The Alzette River is a major river in Luxembourg and northeastern France that flows through key cities including Luxembourg City and Esch-sur-Alzette before joining the Sauer.
  • B. Neris River
    The Neris River is a major river in Belarus and Lithuania that flows through the city of Kaunas before joining the Nemunas River.
  • C. Deûle River
    The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
  • D. Cisadane River
    The Cisadane River is a major river in western Java, Indonesia, flowing from the mountains through Bogor and Tangerang before emptying into the Java Sea.
  • E. Buëch River
    The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a867cac81909ddde955c1752ab8 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.