Triple

T4552827
Position Surface form Disambiguated ID Type / Status
Subject A10 Tauern Autobahn E120406 entity
Predicate passesThrough P225 FINISHED
Object Alpine region E1926 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: Alpine region | Statement: [A10 Tauern Autobahn, passesThrough, Alpine region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpine region
Context triple: [A10 Tauern Autobahn, passesThrough, Alpine region]
  • A. Alps region chosen
    The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
  • B. Alpine
    Alpine is a small city in the Big Bend region of West Texas, known as a gateway to nearby desert and mountain landscapes and home to Sul Ross State University.
  • C. Alpine
    Alpine is a French sports car manufacturer renowned for its lightweight performance vehicles and historic success in rally racing.
  • D. Valais Alps region
    The Valais Alps region is a mountainous area in southwestern Switzerland renowned for its high Alpine peaks, glaciers, and popular ski and hiking resorts.
  • E. Alps foothills
    The Alps foothills are the lower, gently rolling upland regions that form the transitional zone between the flat plains and the high peaks of the Alps.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd581160e08190b715a8ce5c3e6c9b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb95b01b0819094a600752e41aa09 completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:09 p.m.