Triple

T13230837
Position Surface form Disambiguated ID Type / Status
Subject Bolesławiec E315012 entity
Predicate germanName P6492 FINISHED
Object Bunzlau E788184 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: Bunzlau | Statement: [Bolesławiec, germanName, Bunzlau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunzlau
Context triple: [Bolesławiec, germanName, Bunzlau]
  • A. Bunzlau chosen
    Bunzlau is the German name for the town of Bolesławiec in southwestern Poland, historically part of Silesia and known for its distinctive pottery.
  • B. Samborzec
    Samborzec is a village and the seat of a rural administrative district in southeastern Poland’s Sandomierz County.
  • C. Kožlany
    Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
  • D. Loschwitz
    Loschwitz is a historic district of Dresden, Germany, known for its picturesque hillside location along the Elbe River and its association with notable 19th-century cultural figures.
  • E. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:21 p.m.