Triple

T20466285
Position Surface form Disambiguated ID Type / Status
Subject Hof bei Salzburg E502056 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Fuschl am See 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: Fuschl am See | Statement: [Hof bei Salzburg, hasNeighbouringMunicipality, Fuschl am See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuschl am See
Context triple: [Hof bei Salzburg, hasNeighbouringMunicipality, Fuschl am See]
  • A. Fuschl am See chosen
    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.
  • B. Zell am Moos
    Zell am Moos is a small municipality and lakeside village in the Salzkammergut region of Upper Austria, known for its scenic setting on the Irrsee and outdoor recreation opportunities.
  • C. Attersee
    Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
  • D. Zell am See
    Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
  • E. Ischl
    The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696aa0794819082c9989b1f7e9f37 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.