Triple

T16117053
Position Surface form Disambiguated ID Type / Status
Subject National road 6 (Poland) E391029 entity
Predicate connectsCity P4245 FINISHED
Object Goleniów 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: Goleniów | Statement: [National road 6 (Poland), connectsCity, Goleniów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goleniów
Context triple: [National road 6 (Poland), connectsCity, Goleniów]
  • A. Goleniów chosen
    Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
  • B. Goleszów
    Goleszów is a village in southern Poland that serves as the seat of Gmina Goleszów in the Silesian Voivodeship.
  • C. Grochowe
    Grochowe is a village in southeastern Poland located within the administrative district of Gmina Tuszów Narodowy in the Subcarpathian region.
  • D. Wolyniec
    Wolyniec is a Polish-origin surname most notably associated with American soccer player and coach John Wolyniec.
  • E. Grochów
    Grochów is a historic residential district in the Praga-Południe area of Warsaw, Poland, known for its pre-war architecture and role in the city’s industrial and working-class heritage.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016b5c948190b0f1eccb97ee85cc completed April 17, 2026, 9:46 a.m.
Created at: April 10, 2026, 5 a.m.