Triple

T2417621
Position Surface form Disambiguated ID Type / Status
Subject Zihlkanal E52342 entity
Predicate partOfRiverSystem P1009 FINISHED
Object Aare River system E62590 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: Aare River system | Statement: [Zihlkanal, partOfRiverSystem, Aare River system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aare River system
Context triple: [Zihlkanal, partOfRiverSystem, Aare River system]
  • A. Aare chosen
    The Aare is Switzerland’s longest entirely domestic river, flowing through major cities like Bern and feeding several lakes before joining the Rhine.
  • B. Aare basin
    The Aare basin is a major river catchment area in Switzerland that collects waters from numerous lakes and tributaries before ultimately feeding into the Rhine.
  • C. River Reuss
    The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
  • D. Bienne River
    The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
  • E. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94eafd481909eeff689e5bf5960 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09efc108190b309dfe993526a26 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:42 p.m.