Triple

T5474171
Position Surface form Disambiguated ID Type / Status
Subject Kielce County E122908 entity
Predicate bordersWith P224 FINISHED
Object Opatów County E142370 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: Opatów County | Statement: [Kielce County, bordersWith, Opatów County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opatów County
Context triple: [Kielce County, bordersWith, Opatów County]
  • A. Opatów County chosen
    Opatów County is an administrative district in south-central Poland known for its historic town of Opatów and its location within the Świętokrzyskie region.
  • B. Kazimierza County
    Kazimierza County is an administrative district in south-central Poland known for its rural character and location within the historic Świętokrzyskie region.
  • C. 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.
  • D. Końskie County
    Końskie County is an administrative district in south-central Poland, known for its mix of small towns, rural landscapes, and historical sites.
  • E. Pajęczno County
    Pajęczno County is an administrative district in central Poland known for its rural character and location within the Łódź region.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9232ded08190b4142e604319b2ba completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8584123481909d41d83c60ec2561 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 2:09 p.m.