Triple

T14867980
Position Surface form Disambiguated ID Type / Status
Subject Reppisch E349666 entity
Predicate valley P650 FINISHED
Object Reppischtal E1124385 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: Reppischtal | Statement: [Reppisch, valley, Reppischtal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reppischtal
Context triple: [Reppisch, valley, Reppischtal]
  • A. Reppischtal chosen
    Reppischtal is a scenic valley in the canton of Zurich, Switzerland, known for its natural landscapes shaped by the Reppisch river and popular for hiking and outdoor recreation.
  • B. Urbachtal
    Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
  • C. Swisttal
    Swisttal is a municipality in the German state of North Rhine-Westphalia, located in the rural area between Bonn and Euskirchen.
  • D. Wohratal
    Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • E. Landwassertal
    Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5101a48190937a86b6eda79c55 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.