Triple

T17914053
Position Surface form Disambiguated ID Type / Status
Subject Pegnitz E447880 entity
Predicate hasNameInLanguage P15 FINISHED
Object Pegnitz (German) E98867 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: Pegnitz (German) | Statement: [Pegnitz, hasNameInLanguage, Pegnitz (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegnitz (German)
Context triple: [Pegnitz, hasNameInLanguage, Pegnitz (German)]
  • A. Pegnitz chosen
    Pegnitz is a river in the German state of Bavaria that flows through cities such as Nuremberg and Bayreuth before joining the Rednitz to form the Regnitz.
  • B. town of Pegnitz
    The town of Pegnitz is a small Bavarian municipality in Germany known for its picturesque setting in the Franconian Switzerland region and as the namesake of the Pegnitz River.
  • C. March of Meissen
    The March of Meissen was a medieval frontier principality of the Holy Roman Empire in central Germany that developed into a key territorial base for the later Electorate and Kingdom of Saxony.
  • D. Schneidemühl
    Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
  • E. Lommatzsch
    Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212ab44c81909120d15c283d1c3c completed May 12, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:20 a.m.