Triple

T14755887
Position Surface form Disambiguated ID Type / Status
Subject Graben Pestsäule E346726 entity
Predicate hasNameInGerman P22792 FINISHED
Object Pestsäule am Graben 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 am Graben | Statement: [Graben Pestsäule, hasNameInGerman, Pestsäule am Graben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pestsäule am Graben
Context triple: [Graben Pestsäule, hasNameInGerman, Pestsäule am Graben]
  • 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. Gräbschen
    Gräbschen is a locality in what is now Wrocław, Poland, historically part of Germany and known as the birthplace of mathematician Heinz Hopf.
  • D. Pest-Buda
    Pest-Buda was the historic twin-city on the banks of the Danube—comprising Pest and Buda—that served as a political and cultural center of Hungary before its unification into modern Budapest.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.