Triple

T15714766
Position Surface form Disambiguated ID Type / Status
Subject Ischl E380932 entity
Predicate tributaryOf P415 FINISHED
Object Traun E544080 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: Traun | Statement: [Ischl, tributaryOf, Traun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traun
Context triple: [Ischl, tributaryOf, Traun]
  • A. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • B. Traun
    Traun is a river in southeastern Germany that flows through the Chiemgau region of Bavaria.
  • C. Pitztal
    Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
  • D. Traun valley chosen
    Traun valley is a river valley in Upper Austria shaped by the Traun River, encompassing towns such as Leonding and forming part of the greater Linz metropolitan area.
  • E. 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.
  • 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_69ff82f22fc88190820ecb171041136d completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:45 a.m.