Triple

T16117059
Position Surface form Disambiguated ID Type / Status
Subject National road 6 (Poland) E391029 entity
Predicate connectsCity P4245 FINISHED
Object Sławno 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: Sławno | Statement: [National road 6 (Poland), connectsCity, Sławno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sławno
Context triple: [National road 6 (Poland), connectsCity, Sławno]
  • A. Sławno chosen
    Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
  • B. Śleszowice
    Śleszowice is a village in southern Poland located within the administrative district of Gmina Zembrzyce in Lesser Poland Voivodeship.
  • C. Słubice
    Słubice is a Polish border town on the Oder River, located directly across from Frankfurt (Oder) and historically part of the same urban area.
  • D. Wodzisław Śląski
    Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
  • E. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • 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.