Triple

T15714764
Position Surface form Disambiguated ID Type / Status
Subject Ischl E380932 entity
Predicate flowsThrough P225 FINISHED
Object Bad Ischl E76662 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: Bad Ischl | Statement: [Ischl, flowsThrough, Bad Ischl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Ischl
Context triple: [Ischl, flowsThrough, Bad Ischl]
  • A. Ischl
    The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
  • B. Bad Ischl, Austria chosen
    Bad Ischl, Austria is a historic spa town in the Salzkammergut region, renowned as a former summer residence of Emperor Franz Joseph I and a popular health resort.
  • C. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b4378c81908850161988a03b9e completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:45 a.m.