Triple

T12682433
Position Surface form Disambiguated ID Type / Status
Subject Zihl Canal E302979 entity
Predicate hasNameInGerman P22792 FINISHED
Object Zihlkanal 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: Zihlkanal | Statement: [Zihl Canal, hasNameInGerman, Zihlkanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zihlkanal
Context triple: [Zihl Canal, hasNameInGerman, Zihlkanal]
  • A. Zihlkanal chosen
    Zihlkanal is a man-made canal in western Switzerland that drains water from Lake Neuchâtel toward the Aare River system.
  • B. Zihl
    Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
  • C. Neckertal
    Neckertal is a municipality in the Swiss canton of St. Gallen, known for its rural landscape and location within the Toggenburg region.
  • D. Zihl Canal
    The Zihl Canal is a Swiss waterway that channels the outflow of Lake Biel toward the Aare River, helping regulate water levels in the Seeland region.
  • E. Hartelkanaal
    The Hartelkanaal is a Dutch shipping and drainage canal in the province of South Holland that connects the port and industrial areas near Rotterdam with the larger waterway network.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.