Triple

T14819952
Position Surface form Disambiguated ID Type / Status
Subject Będzin County E348420 entity
Predicate hasRuralGmina P46876 FINISHED
Object Bobrowniki E677544 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: Bobrowniki | Statement: [Będzin County, hasRuralGmina, Bobrowniki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobrowniki
Context triple: [Będzin County, hasRuralGmina, Bobrowniki]
  • A. Bobrowniki chosen
    Bobrowniki is a village and municipality in southern Poland’s Silesian Voivodeship, situated within the industrial and urban region of the Upper Silesian metropolitan area.
  • B. Bobrowniki–Berestovitsa
    Bobrowniki–Berestovitsa is an international road border crossing point between Belarus and Poland, serving as a key transit route for passengers and freight between the two countries.
  • C. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • D. Ryglice
    Ryglice is a small town in southern Poland known for its rural character and location in the historical region of Lesser Poland.
  • E. Zielonki
    Zielonki is a village in southern Poland that functions as a suburban community just north of Kraków, blending residential areas with local services and small-scale agriculture.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389bc06c8190a8269c07677d9c35 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.