Triple

T19417019
Position Surface form Disambiguated ID Type / Status
Subject Pinzgau E485747 entity
Predicate contains P35 FINISHED
Object Saalfelden am Steinernen Meer 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: Saalfelden am Steinernen Meer | Statement: [Pinzgau, contains, Saalfelden am Steinernen Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saalfelden am Steinernen Meer
Context triple: [Pinzgau, contains, Saalfelden am Steinernen Meer]
  • A. Saalfelden chosen
    Saalfelden is an Austrian town in the state of Salzburg, known as a winter sports destination and the site of the inaugural Biathlon World Championships.
  • B. Freilassing
    Freilassing is a Bavarian town in southeastern Germany near the Austrian border, known as a key railway junction and gateway to the city of Salzburg.
  • C. Leutkirch im Allgäu
    Leutkirch im Allgäu is a historic town in the Allgäu region of southern Germany, known for its medieval old town and scenic Alpine foothill surroundings.
  • D. Fuschl am See
    Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
  • E. Imst
    Imst is a small alpine town in western Austria known for its scenic Tyrolean landscape and traditional culture.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afad8d881908f1de6324e55d2f6 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.