Triple

T20748775
Position Surface form Disambiguated ID Type / Status
Subject Zell am See District E510661 entity
Predicate capital P234 FINISHED
Object Zell am See 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: Zell am See | Statement: [Zell am See District, capital, Zell am See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zell am See
Context triple: [Zell am See District, capital, Zell am See]
  • A. Zell am See chosen
    Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
  • B. Zell am Moos
    Zell am Moos is a small municipality and lakeside village in the Salzkammergut region of Upper Austria, known for its scenic setting on the Irrsee and outdoor recreation opportunities.
  • C. Igls
    Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
  • D. Fuschl am See
    Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
  • E. Zell am Ziller
    Zell am Ziller is a Tyrolean village in Austria known as a popular base for skiing and outdoor activities in the Zillertal 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c228af288190a20829d45c034c24 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.