Triple

T3330366
Position Surface form Disambiguated ID Type / Status
Subject Ilkenau E70017 entity
Predicate replacedBy P101 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: [Ilkenau, replacedBy, Olkusz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olkusz
Context triple: [Ilkenau, replacedBy, 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. 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.
  • C. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • D. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • E. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ee11988190843e4b81500b65ca completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:12 p.m.