Triple

T22146201
Position Surface form Disambiguated ID Type / Status
Subject Stalowa Wola County E547293 entity
Predicate hasUrbanRuralGmina P63972 FINISHED
Object Zaklików 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: Zaklików | Statement: [Stalowa Wola County, hasUrbanRuralGmina, Zaklików]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaklików
Context triple: [Stalowa Wola County, hasUrbanRuralGmina, Zaklików]
  • A. Zaklików chosen
    Zaklików is a small town in southeastern Poland, located in the Subcarpathian Voivodeship.
  • B. Zakliczyn
    Zakliczyn is a small historic town in southern Poland known for its picturesque location on the Dunajec River and traditional Galician architecture.
  • C. Zawadzkie
    Zawadzkie is a small town in southwestern Poland known for its industrial heritage and location within the Opole region.
  • D. Zagórzyce
    Zagórzyce is a village in southeastern Poland located within the administrative district of Gmina Tuszów Narodowy.
  • E. Zabierzów
    Zabierzów is a village in southern Poland that serves as the administrative seat of its rural commune near the city of Kraków.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.