Triple

T2830878
Position Surface form Disambiguated ID Type / Status
Subject Lublin Voivodeship E62231 entity
Predicate contains P35 FINISHED
Object Włodawa E45699 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: Włodawa | Statement: [Lublin Voivodeship, contains, Włodawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Włodawa
Context triple: [Lublin Voivodeship, contains, Włodawa]
  • A. Włodawa chosen
    Włodawa is a town in eastern Poland near the borders with Belarus and Ukraine, known for its multicultural heritage and proximity to the former Sobibor extermination camp.
  • B. Biała Podlaska
    Biała Podlaska is a city in eastern Poland near the Belarusian border, known as a local economic and cultural center of the Lublin Voivodeship.
  • C. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • D. Biłgoraj
    Biłgoraj is a town in eastern Poland known for its traditional wooden architecture and location near the Roztocze region.
  • E. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69be393b31e081908b585a88a35d4c39 completed March 21, 2026, 6:22 a.m.
Created at: March 6, 2026, 10:01 p.m.