Triple

T20443671
Position Surface form Disambiguated ID Type / Status
Subject Hallein industrial area E501458 entity
Predicate partOf P40 FINISHED
Object Hallein urban area 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 urban area | Statement: [Hallein industrial area, partOf, Hallein urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallein urban area
Context triple: [Hallein industrial area, partOf, Hallein urban area]
  • A. Hallein District
    Hallein District is an administrative district in the Austrian state of Salzburg, known for its historic salt-mining town of Hallein and its location in the northern Alps.
  • B. 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.
  • C. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • D. Leoben
    Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
  • E. Liezen District
    Liezen District is a large administrative district in the Austrian state of Styria, known for its Alpine landscapes, tourism, and dispersed rural communities.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfa7dd08190883a37e3480b152c completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.