Triple

T18480923
Position Surface form Disambiguated ID Type / Status
Subject Tennengau E451553 entity
Predicate borders P224 FINISHED
Object Flachgau 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: Flachgau | Statement: [Tennengau, borders, Flachgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flachgau
Context triple: [Tennengau, borders, Flachgau]
  • A. Flachgau chosen
    Flachgau is a district in the Austrian state of Salzburg, known for its picturesque Alpine landscapes and proximity to the city of Salzburg.
  • B. Ostallgäu
    Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
  • C. Prättigau
    Prättigau is a valley region in the canton of Graubünden in eastern Switzerland, known for its alpine landscapes, traditional villages, and outdoor recreation such as hiking and skiing.
  • D. Unterallgäu
    Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its agricultural landscape and small towns.
  • E. Seßlach
    Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d3d13c81909c52d797360b840a completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.