Triple

T7214719
Position Surface form Disambiguated ID Type / Status
Subject Mokra, Poland E149502 entity
Predicate partOf P40 FINISHED
Object Kłobuck County E690959 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: Kłobuck County | Statement: [Mokra, Poland, partOf, Kłobuck County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kłobuck County
Context triple: [Mokra, Poland, partOf, Kłobuck County]
  • A. Kłobuck County chosen
    Kłobuck County is an administrative district (powiat) in the Silesian Voivodeship of southern Poland, with the town of Kłobuck as its seat.
  • B. Zawichost County
    Zawichost County was a historical administrative district in the Sandomierz region of Poland, centered on the town of Zawichost.
  • C. Opatów County
    Opatów County is an administrative district in south-central Poland known for its historic town of Opatów and its location within the Świętokrzyskie region.
  • D. Szydłowiec County
    Szydłowiec County is an administrative district (powiat) in the Masovian Voivodeship of east-central Poland, centered around the town of Szydłowiec.
  • E. 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.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98cbebc8190941e76259c988790 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c963dc62f88190b2aff49f5cb5fe27 completed March 29, 2026, 5:39 p.m.
Created at: March 27, 2026, 2:53 p.m.