Triple

T10885933
Position Surface form Disambiguated ID Type / Status
Subject Lublinitz E257044 entity
Predicate appliesTo P1129 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: [Lublinitz, appliesTo, Lubliniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubliniec
Context triple: [Lublinitz, appliesTo, 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. Lubień
    Lubień is a village in southern Poland, known here as the place where prominent historian and politician Bronisław Geremek died.
  • C. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • D. Łubnice
    Łubnice is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • E. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dea1a88190b916879be8d74413 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0513f408190b822566b8fc771cd completed May 3, 2026, 8:30 p.m.
Created at: April 8, 2026, 9:21 p.m.