Triple

T12814421
Position Surface form Disambiguated ID Type / Status
Subject Chaumont E306353 entity
Predicate twinnedWith P1072 FINISHED
Object Olkusz E12746 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: Olkusz | Statement: [Chaumont, twinnedWith, Olkusz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olkusz
Context triple: [Chaumont, twinnedWith, Olkusz]
  • A. Olkusz chosen
    Olkusz is a historic town in southern Poland known for its medieval silver and lead mining heritage and well-preserved Old Town.
  • B. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • C. Kalwaria Zebrzydowska
    Kalwaria Zebrzydowska is a renowned Polish pilgrimage town famous for its UNESCO-listed Mannerist monastery and park complex dedicated to the Passion of Christ and the Virgin Mary.
  • 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. Mszana Dolna
    Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9beb30819097c256a5aab9a4c8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.