Triple

T2025269
Position Surface form Disambiguated ID Type / Status
Subject Southern Germany E44192 entity
Predicate hasSubregion P285 FINISHED
Object Allgäu E209089 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: Allgäu | Statement: [Southern Germany, hasSubregion, Allgäu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allgäu
Context triple: [Southern Germany, hasSubregion, Allgäu]
  • A. Allgäu region chosen
    The Allgäu region is a picturesque area in southern Germany known for its alpine landscapes, traditional Bavarian culture, and famous fairy-tale castles.
  • B. Ötztal
    Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
  • C. Ostallgäu
    Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
  • D. Flachgau
    Flachgau is a district in the Austrian state of Salzburg, known for its picturesque Alpine landscapes and proximity to the city of Salzburg.
  • E. Carinthia
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae270d7740819084f67c5f92a9995d completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:38 p.m.