Triple

T23071609
Position Surface form Disambiguated ID Type / Status
Subject historic center of Myślenice E575210 entity
Predicate partOf P40 FINISHED
Object city of Myślenice 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: city of Myślenice | Statement: [historic center of Myślenice, partOf, city of Myślenice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Myślenice
Context triple: [historic center of Myślenice, partOf, city of Myślenice]
  • A. Myślenice chosen
    Myślenice is a historic town in southern Poland known for its picturesque setting near the Carpathian foothills and its role as a local cultural and tourist center.
  • B. Milicz
    Milicz is a town in southwestern Poland’s Lower Silesian Voivodeship, known for its surrounding fishponds and natural reserves in the Barycz Valley.
  • C. Mielec
    Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
  • D. Zamość
    Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
  • E. Kozienice
    Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5ffad881909ed626045c15dd33 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.