Triple

T6752703
Position Surface form Disambiguated ID Type / Status
Subject Mogilno E154377 entity
Predicate partOf P40 FINISHED
Object Mogilno County E651947 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: Mogilno County | Statement: [Mogilno, partOf, Mogilno County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogilno County
Context triple: [Mogilno, partOf, Mogilno County]
  • A. Mogilno County chosen
    Mogilno County is a local government and administrative district in the Kuyavian-Pomeranian Voivodeship of north-central Poland.
  • B. Końskie County
    Końskie County is an administrative district in south-central Poland, known for its mix of small towns, rural landscapes, and historical sites.
  • C. Kazimierza County
    Kazimierza County is an administrative district in south-central Poland known for its rural character and location within the historic Świętokrzyskie region.
  • D. Łowicz County
    Łowicz County is an administrative district in central Poland’s Łódź Voivodeship, known for its historic towns, traditional folk culture, and agricultural landscape.
  • E. Szydłowiec County
    Szydłowiec County is an administrative district (powiat) in the Masovian Voivodeship of east-central Poland, centered around the town of Szydłowiec.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1dd98388190aafeea580a181df1 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daf7529c8190b70ac11fb4c9ba32 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:11 p.m.