Triple

T6613154
Position Surface form Disambiguated ID Type / Status
Subject Silesian Voivodeship E149284 entity
Predicate containsCity P294 FINISHED
Object Lubliniec E526820 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: Lubliniec | Statement: [Silesian Voivodeship, containsCity, Lubliniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubliniec
Context triple: [Silesian Voivodeship, containsCity, Lubliniec]
  • A. Lubliniec chosen
    Lubliniec is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval origins, regional cultural heritage, and surrounding forested landscapes.
  • B. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • C. Łubnice
    Łubnice is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • D. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • E. Oleśnica
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3890408190a0edf2f813b93196 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2ffaba9988190be59bf863c3b1f48 completed April 6, 2026, 12:34 a.m.
Created at: March 27, 2026, 1:57 p.m.