Triple

T15937135
Position Surface form Disambiguated ID Type / Status
Subject Kaisermühlen–Vienna International Centre station E386466 entity
Predicate namedAfter P63 FINISHED
Object Kaisermühlen E386467 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: Kaisermühlen | Statement: [Kaisermühlen–Vienna International Centre station, namedAfter, Kaisermühlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaisermühlen
Context triple: [Kaisermühlen–Vienna International Centre station, namedAfter, Kaisermühlen]
  • A. Kaisermühlen chosen
    Kaisermühlen is a district of Vienna, Austria, known for its modern developments along the Danube and for hosting major international institutions.
  • B. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • C. Mehring
    Mehring is a municipality in Bavaria, Germany, located within the district of Altötting.
  • D. Mehring
    Mehring is a German surname most notably associated with Franz Mehring, a prominent Marxist historian, journalist, and politician.
  • E. Meuselwitz
    Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.