Triple

T16158260
Position Surface form Disambiguated ID Type / Status
Subject Graben E392108 entity
Predicate hasLandmark P105 FINISHED
Object Pestsäule E1117261 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: Pestsäule | Statement: [Graben, hasLandmark, Pestsäule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pestsäule
Context triple: [Graben, hasLandmark, Pestsäule]
  • A. Pestsäule chosen
    The Pestsäule is a prominent Baroque plague column in Vienna, erected to commemorate the end of a devastating outbreak of the bubonic plague.
  • B. The Pest
    The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
  • C. Pest Station
    Pest Station was the historical name of Budapest’s Nyugati railway station, one of the main rail terminals in Hungary’s capital and a key hub for regional and international train services.
  • D. Delice Böcek
    Delice Böcek is a notable poetic work by the renowned Turkish poet Fazıl Hüsnü Dağlarca.
  • E. Pest
    Pest is the historic eastern part of modern-day Budapest, known as a former independent city on the flat bank of the Danube that later merged with Buda and Óbuda.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5c9cd0819090e34ee163ffb118 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b05a588190a44d1c922195a87b completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.