Triple

T19871552
Position Surface form Disambiguated ID Type / Status
Subject Peace of Thorn (1411) E477527 entity
Predicate locationNow P31256 FINISHED
Object Toruń, Poland NE NERFINISHED

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: Toruń, Poland | Statement: [Peace of Thorn (1411), locationNow, Toruń, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toruń, Poland
Context triple: [Peace of Thorn (1411), locationNow, Toruń, Poland]
  • A. Toruń chosen
    Toruń is a historic city in northern Poland, renowned for its well-preserved medieval Old Town and as the birthplace of astronomer Nicolaus Copernicus.
  • B. Gorzów Wielkopolski, Poland
    Gorzów Wielkopolski is a city in western Poland, known as one of the two capitals of the Lubusz Voivodeship and an important regional industrial and cultural center.
  • C. New Town of Toruń
    The New Town of Toruń is the later medieval extension of the historic Polish city of Toruń, forming part of its UNESCO-listed urban complex along the Vistula River.
  • D. Ustronie, Poland
    Ustronie is a locality in Poland known historically as the place where the renowned Polish violinist and composer Karol Lipiński died.
  • E. Tychy, Poland
    Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a3d2b08190ad81914d4860df0e completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.