Triple

T4790019
Position Surface form Disambiguated ID Type / Status
Subject State of Salzburg E106577 entity
Predicate contains P35 FINISHED
Object Hallein E451555 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: Hallein | Statement: [State of Salzburg, contains, Hallein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallein
Context triple: [State of Salzburg, 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. 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.
  • C. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • D. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e8f9dc8190b4e932d179e2f097 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.