Triple

T17764955
Position Surface form Disambiguated ID Type / Status
Subject Salzburg Alps region E443478 entity
Predicate contains P35 FINISHED
Object Hallein 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: Hallein | Statement: [Salzburg Alps region, contains, Hallein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallein
Context triple: [Salzburg Alps region, contains, Hallein]
  • A. Hallein chosen
    Hallein is a historic town in the Austrian state of Salzburg, known for its former salt mines and picturesque location along the Salzach River.
  • B. Hilpoltstein
    Hilpoltstein is a historic town in Bavaria, Germany, known for its medieval castle ruins and picturesque old town.
  • C. Kißlegg
    Kißlegg is a small town in the Ravensburg district of Baden-Württemberg, Germany, known for its historic castles and location in the scenic Allgäu region.
  • D. Hallstatt
    Hallstatt is a picturesque Austrian village on Lake Hallstatt in the Salzkammergut region, renowned for its ancient salt mines and well-preserved Alpine architecture.
  • E. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fb2a3c81908887d1d36aee942d completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.