Triple

T9448810
Position Surface form Disambiguated ID Type / Status
Subject Toruń City Hall E227832 entity
Predicate ownedBy P347 FINISHED
Object City of Toruń E44061 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 Toruń | Statement: [Toruń City Hall, ownedBy, City of Toruń]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Toruń
Context triple: [Toruń City Hall, ownedBy, City of Toruń]
  • 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. Medieval Town of Toruń
    The Medieval Town of Toruń is a well-preserved Gothic trading city in northern Poland, renowned for its intact medieval street layout, brick architecture, and association with astronomer Nicolaus Copernicus.
  • C. Tarnów
    Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
  • D. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • E. Old Town of Opole
    The Old Town of Opole is the historic center of the city of Opole in southwestern Poland, known for its preserved medieval urban layout, colorful townhouses, and cultural landmarks.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f64fdc88190aec27793bfe62d77 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152643bbc8190840f294442f2e1cc completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:51 p.m.