Triple

T16396003
Position Surface form Disambiguated ID Type / Status
Subject Polish Theatre in Bielsko-Biała E398181 entity
Predicate ownedBy P347 FINISHED
Object City of Bielsko-Biała E90431 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: City of Bielsko-Biała | Statement: [Polish Theatre in Bielsko-Biała, ownedBy, City of Bielsko-Biała]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bielsko-Biała
Context triple: [Polish Theatre in Bielsko-Biała, ownedBy, City of Bielsko-Biała]
  • A. Bielsko-Biała chosen
    Bielsko-Biała is a city in southern Poland at the foot of the Beskid Mountains, known as a regional industrial and cultural center formed from the historic towns of Bielsko and Biała.
  • B. Zamość
    Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
  • C. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • D. City of Będzin
    The City of Będzin is a historic urban center in southern Poland, known for its medieval heritage, including a prominent castle, and its role in the Silesian region’s cultural and industrial history.
  • E. Wolsztyn
    Wolsztyn is a town in western Poland known for its historic steam locomotive depot and annual steam engine parade.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326462298819087091dc935f0f916 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:09 a.m.