Triple

T10690398
Position Surface form Disambiguated ID Type / Status
Subject Murtensee E251994 entity
Predicate hasOutflow P967 FINISHED
Object Broyekanal E52342 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: Broyekanal | Statement: [Murtensee, hasOutflow, Broyekanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broyekanal
Context triple: [Murtensee, hasOutflow, Broyekanal]
  • A. Zihlkanal chosen
    Zihlkanal is a man-made canal in western Switzerland that drains water from Lake Neuchâtel toward the Aare River system.
  • B. Britz Canal
    The Britz Canal is a short industrial waterway in Berlin, Germany, linking local waterways and serving as part of the city’s inland shipping network.
  • C. Trollhätte Canal
    Trollhätte Canal is a Swedish shipping canal with locks that bypass the Trollhättan falls, forming a key part of the inland waterway between Gothenburg and Lake Vänern.
  • D. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • E. Bôle
    Bôle is a village and former municipality in the canton of Neuchâtel in western Switzerland.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1c0f0081908a6869ee756ec789 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:11 p.m.