Triple

T777802
Position Surface form Disambiguated ID Type / Status
Subject Swiss Plateau E16427 entity
Predicate contains P35 FINISHED
Object Aare River 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 | Statement: [Swiss Plateau, contains, Aare River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aare River
Context triple: [Swiss Plateau, contains, Aare River]
  • 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. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • D. Alpine Rhine
    The Alpine Rhine is the upper stretch of the Rhine River flowing through the Alpine region, forming part of the border between Switzerland, Liechtenstein, and Austria.
  • E. Sihl River
    The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3adf1d88190acec593f0aca1ec0 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.