Triple

T9413983
Position Surface form Disambiguated ID Type / Status
Subject district of Rosenheim E226767 entity
Predicate contains P35 FINISHED
Object Aschau im Chiemgau E771791 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: Aschau im Chiemgau | Statement: [district of Rosenheim, contains, Aschau im Chiemgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aschau im Chiemgau
Context triple: [district of Rosenheim, contains, Aschau im Chiemgau]
  • A. Aschau im Chiemgau chosen
    Aschau im Chiemgau is a Bavarian municipality in southern Germany, known as a scenic Alpine resort area near Lake Chiemsee.
  • B. Rottach-Egern
    Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
  • C. Schneizlreuth
    Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
  • D. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • E. Oberschwarzach
    Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c680e48190be82e3829e8711f0 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d354af200881909b08ab9b71d0d53f completed April 6, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:47 p.m.