Triple

T17367896
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Grächen E1240744 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: Grächen | Statement: [Visp District, contains, Grächen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grächen
Context triple: [Visp District, contains, Grächen]
  • A. Grächen chosen
    Grächen is a Swiss alpine village and popular family-friendly holiday resort in the canton of Valais, known for its scenic mountain setting and access to hiking and skiing.
  • B. Goldach
    Goldach is a municipality in northeastern Switzerland, located on the southern shore of Lake Constance in the canton of St. Gallen.
  • C. Granschütz
    Granschütz is a locality in eastern Germany situated within the broader Leipzig metropolitan region.
  • D. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • E. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afe164d48190aa3d4eefe0ef12a3 completed May 11, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:44 a.m.