Triple

T4670874
Position Surface form Disambiguated ID Type / Status
Subject Stubai Alps E102957 entity
Predicate hasValley P650 FINISHED
Object Stubaital E94030 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: Stubaital | Statement: [Stubai Alps, hasValley, Stubaital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stubaital
Context triple: [Stubai Alps, hasValley, Stubaital]
  • A. Stubaital chosen
    Stubaital is a scenic alpine valley in the Austrian state of Tyrol, renowned for its glacier skiing, hiking opportunities, and traditional mountain villages.
  • B. Stubentor
    Stubentor is a historic former city gate site in Vienna’s Innere Stadt, now known as a central U-Bahn station and landmark.
  • C. Staffa
    Staffa is a small alpine hamlet that forms part of the mountain village and ski resort area of Macugnaga in northern Italy.
  • D. Staffa
    Staffa is a small uninhabited Scottish island in the Inner Hebrides, famed for its striking hexagonal basalt columns and the sea cave known as Fingal’s Cave.
  • E. Stutterheim
    Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63506090819083ff8271adc5ef75 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.