Triple

T14867925
Position Surface form Disambiguated ID Type / Status
Subject Valais (German-speaking part) E349664 entity
Predicate contains P35 FINISHED
Object Saastal E429926 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: Saastal | Statement: [Valais (German-speaking part), contains, Saastal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saastal
Context triple: [Valais (German-speaking part), contains, Saastal]
  • A. Saastal chosen
    Saastal is a high Alpine valley in the Swiss canton of Valais, known for its dramatic peaks, glaciers, and popular mountain resorts.
  • B. Kaarsild
    Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
  • C. Zaosie
    Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
  • D. Stavenhagen
    Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
  • E. Piershil
    Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • 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_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.