Triple

T15497450
Position Surface form Disambiguated ID Type / Status
Subject Austrian Alps E378855 entity
Predicate locatedIn P40 FINISHED
Object Southern Austria E476253 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: Southern Austria | Statement: [Austrian Alps, locatedIn, Southern Austria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Austria
Context triple: [Austrian Alps, locatedIn, Southern Austria]
  • A. southern Austria chosen
    Southern Austria is the region of Austria bordering Slovenia and Italy, characterized by Alpine landscapes, lakes, and a blend of Austrian and Slovene cultural influences.
  • B. Western Styria
    Western Styria is a subregion of the Austrian state of Styria, known for its hilly landscapes, vineyards, and traditional rural culture.
  • C. western Austria
    Western Austria is the mountainous, largely Alpine part of Austria that includes regions such as Tyrol and Vorarlberg, known for skiing, tourism, and scenic landscapes.
  • D. Eastern Styria
    Eastern Styria is a region in the eastern part of the Austrian state of Styria, known for its rolling hills, vineyards, and agricultural landscapes.
  • E. northern Austria
    Northern Austria is the upper part of the country of Austria, characterized by its proximity to the Czech border, rolling hills, and a mix of agricultural and industrial regions.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2d4b1c81909ff876289db20803 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 3:53 a.m.