Triple

T5198110
Position Surface form Disambiguated ID Type / Status
Subject Salzburg-Umgebung District E117321 entity
Predicate hasMunicipality P847 FINISHED
Object Elsbethen E120403 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: Elsbethen | Statement: [Salzburg-Umgebung District, hasMunicipality, Elsbethen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsbethen
Context triple: [Salzburg-Umgebung District, hasMunicipality, Elsbethen]
  • A. Elsbethen chosen
    Elsbethen is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg and known for its scenic Alpine surroundings.
  • B. Eythorne
    Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
  • C. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • D. Maidenbower
    Maidenbower is a residential neighbourhood and modern housing development located on the eastern side of Crawley in West Sussex, England.
  • E. Glynis
    Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1f154481908be5d3c9cbbef92a completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a115048190b7f02b5449c444d7 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.