Triple

T19197255
Position Surface form Disambiguated ID Type / Status
Subject Lungau E470003 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Tamsweg 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: Tamsweg | Statement: [Lungau, hasAdministrativeCenter, Tamsweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamsweg
Context triple: [Lungau, hasAdministrativeCenter, Tamsweg]
  • A. Tamsweg chosen
    Tamsweg is a market town in the Lungau region of Austria known as a local administrative and cultural center within the State of Salzburg.
  • B. Tennstädt
    Tennstädt is a small town in the Thuringia region of central Germany.
  • C. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • D. Trostberg
    Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
  • E. Klemzig
    Klemzig is a suburb of Adelaide, South Australia, known as one of the city's earliest German settlements and now a primarily residential area.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a695cc8190b84a220f52c51dfc completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.