Triple

T16256147
Position Surface form Disambiguated ID Type / Status
Subject Most Basin E394632 entity
Predicate containsTown P847 FINISHED
Object Bílina E394627 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: Bílina | Statement: [Most Basin, containsTown, Bílina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bílina
Context triple: [Most Basin, containsTown, Bílina]
  • A. Bílina chosen
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • B. Biely Potok
    Biely Potok was a former Slovak settlement in the Orava region that was submerged and abandoned during the creation of the Orava Reservoir.
  • C. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • D. Brzezina
    Brzezina is a village in southwestern Poland located within the administrative district of Gmina Miękinia in the Lower Silesian region.
  • E. Bílina River
    The Bílina River is a river in the northwestern Czech Republic that flows through the industrial and mining areas of the Ústí nad Labem Region before joining the Elbe.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.