Triple

T7546279
Position Surface form Disambiguated ID Type / Status
Subject Ettelbruck E178409 entity
Predicate locatedAtConfluenceOf P11842 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: [Ettelbruck, locatedAtConfluenceOf, Alzette River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alzette River
Context triple: [Ettelbruck, locatedAtConfluenceOf, 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. Akmena-Danė River
    The Akmena-Danė River is a waterway in western Lithuania that flows through the port city of Klaipėda before emptying into the Curonian Lagoon.
  • E. Lorze River
    The Lorze River is a Swiss river in the canton of Zug, known for flowing through the Ägeri Valley and the Höllgrotten caves before joining the Reuss.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89963ec8190ae7b8a2b9508c074 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.