Triple

T15853897
Position Surface form Disambiguated ID Type / Status
Subject Słubice County E384406 entity
Predicate hasTown P847 FINISHED
Object Słubice 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: Słubice | Statement: [Słubice County, hasTown, Słubice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Słubice
Context triple: [Słubice County, hasTown, Słubice]
  • A. Słubice chosen
    Słubice is a Polish border town on the Oder River, located directly across from Frankfurt (Oder) and historically part of the same urban area.
  • B. Śleszowice
    Śleszowice is a village in southern Poland located within the administrative district of Gmina Zembrzyce in Lesser Poland Voivodeship.
  • C. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • D. Racibórz
    Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
  • E. Sławno
    Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cae96648190884a85f68b6e9fe1 completed April 16, 2026, 8:55 p.m.
Created at: April 10, 2026, 4:50 a.m.