Triple

T19922919
Position Surface form Disambiguated ID Type / Status
Subject Mont-Blanc Express E478845 entity
Predicate passesThrough P225 FINISHED
Object Trient Valley NE NERFINISHED

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: Trient Valley | Statement: [Mont-Blanc Express, passesThrough, Trient Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trient Valley
Context triple: [Mont-Blanc Express, passesThrough, Trient Valley]
  • A. Trient valley chosen
    Trient valley is a scenic alpine valley in the Swiss canton of Valais, known for its dramatic mountain landscapes and proximity to the Glacier de Trient.
  • B. Sille Valley
    Sille Valley is a historic and scenic valley near Konya in central Turkey, known for its ancient rock-cut churches, traditional stone houses, and cultural heritage.
  • C. Lesse valley
    Lesse valley is a scenic river valley in the Ardennes region of Belgium, known for its forested landscapes, limestone cliffs, and outdoor recreation such as kayaking and hiking.
  • D. Thal valley
    Thal valley is a scenic valley region in the canton of Solothurn, Switzerland, known for its rural landscapes, forests, and small towns.
  • E. Rur valley
    The Rur valley is a river valley in western Germany known for its scenic landscapes, forests, and small towns along the Rur River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c7be948190a65a1c78ba68dff3 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.