Triple

T10359488
Position Surface form Disambiguated ID Type / Status
Subject Wippingen E244095 entity
Predicate partOf P40 FINISHED
Object Blaustein E38762 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: Blaustein | Statement: [Wippingen, partOf, Blaustein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blaustein
Context triple: [Wippingen, partOf, Blaustein]
  • A. Blaustein chosen
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Goldshteyn
    Goldshteyn is a variant spelling of the Jewish surname Goldstein, commonly found in Russian and Yiddish transliterations.
  • C. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • D. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • E. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e95708c481909c8c8cb2a57bf6d6 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79529208c81909b39e3ba937c541f completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:59 a.m.