Triple

T13691400
Position Surface form Disambiguated ID Type / Status
Subject Unterallgäu E328272 entity
Predicate neighboringDistrict P17964 FINISHED
Object Ostallgäu E215162 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: Ostallgäu | Statement: [Unterallgäu, neighboringDistrict, Ostallgäu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostallgäu
Context triple: [Unterallgäu, neighboringDistrict, Ostallgäu]
  • A. Ostallgäu chosen
    Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
  • B. Flachgau
    Flachgau is a district in the Austrian state of Salzburg, known for its picturesque Alpine landscapes and proximity to the city of Salzburg.
  • C. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • D. Gosau
    Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
  • E. Unterallgäu
    Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its agricultural landscape and small towns.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944b93d88190806d6b5735f7e794 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.