Triple

T16117058
Position Surface form Disambiguated ID Type / Status
Subject National road 6 (Poland) E391029 entity
Predicate connectsCity P4245 FINISHED
Object Sianów 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: Sianów | Statement: [National road 6 (Poland), connectsCity, Sianów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sianów
Context triple: [National road 6 (Poland), connectsCity, Sianów]
  • A. Sianów chosen
    Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Stary Sącz
    Stary Sącz is a historic town in southern Poland known for its well-preserved medieval urban layout and cultural heritage.
  • D. Świdnik
    Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
  • E. Siewierz
    Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
  • 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.