Triple

T6158268
Position Surface form Disambiguated ID Type / Status
Subject Staszów County E137376 entity
Predicate hasPart P35 FINISHED
Object urban gmina Staszów E211075 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: urban gmina Staszów | Statement: [Staszów County, hasPart, urban gmina Staszów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: urban gmina Staszów
Context triple: [Staszów County, hasPart, urban gmina Staszów]
  • A. Staszów chosen
    Staszów is a historic town in south-central Poland known for its medieval origins and location within the Świętokrzyskie region.
  • B. Olkusz urban area
    Olkusz urban area is the built-up and administratively organized urban region centered on the town of Olkusz in southern Poland.
  • C. Podgórze district
    Podgórze district is a historic area of Kraków, Poland, known for its former Jewish ghetto during World War II and sites such as Oskar Schindler’s factory.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Starachowice
    Starachowice is an industrial town in south-central Poland known for its automotive and metalworking industries and its location near the Świętokrzyskie (Holy Cross) Mountains.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d32ef548190bc215d052d3497fe completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418ba6488190aaf8d3070555d60a completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.