Triple

T8713686
Position Surface form Disambiguated ID Type / Status
Subject Frauenwörth Abbey E206841 entity
Predicate region P40 FINISHED
Object Chiemgau E207237 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: Chiemgau | Statement: [Frauenwörth Abbey, region, Chiemgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiemgau
Context triple: [Frauenwörth Abbey, region, Chiemgau]
  • A. Chiemgau region chosen
    The Chiemgau region is a picturesque area in southeastern Bavaria, Germany, known for its lakes, rolling Alpine foothills, and popular outdoor recreation opportunities.
  • B. Andechs
    Andechs is a Bavarian town best known for its historic Benedictine abbey and renowned monastic brewery that attract pilgrims and beer enthusiasts alike.
  • C. Ostallgäu
    Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
  • 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. Flachgau
    Flachgau is a district in the Austrian state of Salzburg, known for its picturesque Alpine landscapes and proximity to the city of Salzburg.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6eec316c8190a681791ceefa5804 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:35 p.m.