Triple

T20021716
Position Surface form Disambiguated ID Type / Status
Subject Zduńska Wola E494875 entity
Predicate hasTwinTown P919 FINISHED
Object Świdnica, Poland 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: Świdnica, Poland | Statement: [Zduńska Wola, hasTwinTown, Świdnica, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Świdnica, Poland
Context triple: [Zduńska Wola, hasTwinTown, Świdnica, Poland]
  • A. Świdnica chosen
    Świdnica is a historic town in southwestern Poland known for its well-preserved medieval architecture and the UNESCO-listed Church of Peace.
  • B. Kozienice, Poland
    Kozienice is a historic town in east-central Poland known for its location along the Vistula River and proximity to the Kozienice Landscape Park.
  • C. Lipno, Poland
    Lipno, Poland is a small town in north-central Poland’s Kuyavian-Pomeranian Voivodeship, known as the birthplace of prominent economist and reformer Leszek Balcerowicz.
  • D. Żarnowiec, Poland
    Żarnowiec, Poland is a small village in northern Poland known for its historic monastery and scenic rural surroundings.
  • E. Złoczów, Poland
    Złoczów, Poland is a town in present-day Ukraine (historically part of Poland) known as the birthplace of Nobel Prize–winning chemist Roald Hoffmann.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.