Triple

T17931992
Position Surface form Disambiguated ID Type / Status
Subject LZ E448354 entity
Predicate appliesToDistrict P89870 FINISHED
Object Lienz District 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: Lienz District | Statement: [LZ, appliesToDistrict, Lienz District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lienz District
Context triple: [LZ, appliesToDistrict, Lienz District]
  • A. Lienz District chosen
    Lienz District is an administrative district in the Austrian state of Tyrol, known for its Alpine landscapes and the town of Lienz as its administrative center.
  • B. Bludenz District
    Bludenz District is an administrative district in the Austrian state of Vorarlberg, known for its Alpine landscapes, ski resorts, and mountain tourism.
  • C. Gmünd District
    Gmünd District is an administrative district in the northern part of Lower Austria, bordering the Czech Republic and known for its historic towns and forested landscapes.
  • D. Kitzbühel District
    Kitzbühel District is an administrative district in the Austrian state of Tyrol, known for encompassing popular Alpine ski resorts and picturesque mountain towns.
  • E. Kufstein District
    Kufstein District is an administrative district in the Austrian state of Tyrol, known for its Alpine landscapes, historic towns, and proximity to the German border.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a552bb848190871251474cc208d5 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.