Triple

T3927761
Position Surface form Disambiguated ID Type / Status
Subject Bern metropolitan area E93317 entity
Predicate river P165 FINISHED
Object Aare 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 | Statement: [Bern metropolitan area, river, Aare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aare
Context triple: [Bern metropolitan area, river, Aare]
  • 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. Colagne River
    The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
  • E. Lütschine
    The Lütschine is a river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen and Grindelwald valleys before joining the Aare near Interlaken.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53387775881909479f4e1fcecdaca completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:23 p.m.