Triple

T15947239
Position Surface form Disambiguated ID Type / Status
Subject Kozłowo E386715 entity
Predicate locatedIn P40 FINISHED
Object Nidzica County E786732 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: Nidzica County | Statement: [Kozłowo, locatedIn, Nidzica County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nidzica County
Context triple: [Kozłowo, locatedIn, Nidzica County]
  • A. Nidzica County chosen
    Nidzica County is an administrative district (powiat) in the Warmian-Masurian Voivodeship of northern Poland, with the town of Nidzica as its seat.
  • B. Turek County
    Turek County is an administrative district in west-central Poland, located in the Greater Poland Voivodeship.
  • C. Wołów County
    Wołów County is an administrative district in southwestern Poland’s Lower Silesian Voivodeship, encompassing towns such as Wołów and Brzeg Dolny.
  • D. Jawor County
    Jawor County is an administrative district (powiat) in the Lower Silesian Voivodeship of southwestern Poland, known for its historic town of Jawor and proximity to the Sudetes foothills.
  • E. Lipsko County
    Lipsko County is an administrative district (powiat) in the Masovian Voivodeship of east-central Poland, known for its predominantly rural character and small-town centers.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.