Triple

T7364745
Position Surface form Disambiguated ID Type / Status
Subject Jelenia Góra Valley E169841 entity
Predicate contains P35 FINISHED
Object city of Jelenia Góra E307156 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: city of Jelenia Góra | Statement: [Jelenia Góra Valley, contains, city of Jelenia Góra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Jelenia Góra
Context triple: [Jelenia Góra Valley, contains, city of Jelenia Góra]
  • A. Jelenia Góra chosen
    Jelenia Góra is a historic city in southwestern Poland, known for its picturesque setting in the Karkonosze Mountains and its well-preserved old town architecture.
  • B. Zielona Góra
    Zielona Góra is a city in western Poland known for its wine-making tradition and annual wine festival.
  • C. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • D. Polkowice
    Polkowice is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • E. Świdnica
    Świdnica is a historic town in southwestern Poland known for its well-preserved medieval architecture and the UNESCO-listed Church of Peace.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f161d76081909da6d698fb3d8bb1 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab704008190ad07e12ead1a13ed completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.