Triple

T17583932
Position Surface form Disambiguated ID Type / Status
Subject Bromberg E428270 entity
Predicate locatedIn P40 FINISHED
Object Bydgoszcz County 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: Bydgoszcz County | Statement: [Bromberg, locatedIn, Bydgoszcz County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bydgoszcz County
Context triple: [Bromberg, locatedIn, Bydgoszcz County]
  • A. Bydgoszcz County chosen
    Bydgoszcz County is an administrative district in north-central Poland, located in the Kuyavian-Pomeranian Voivodeship and surrounding the city of Bydgoszcz.
  • B. Kwidzyn County
    Kwidzyn County is an administrative district (powiat) in the Pomeranian Voivodeship of northern Poland, known for its historic towns and mixed agricultural and forested landscapes.
  • C. Toruń County
    Toruń County is an administrative district in north-central Poland surrounding the city of Toruń in the Kuyavian-Pomeranian Voivodeship.
  • D. Gdańsk County
    Gdańsk County is an administrative region in northern Poland, surrounding the city of Gdańsk and encompassing several towns and rural areas along the Baltic coast.
  • E. Świdwin County
    Świdwin County is an administrative district in the West Pomeranian Voivodeship of northwestern Poland, encompassing the town of Świdwin and surrounding rural areas.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d015fc8190b2dd897026d6fcb5 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.