Triple

T4797957
Position Surface form Disambiguated ID Type / Status
Subject Pilsen E106758 entity
Predicate locatedOnRiver P165 FINISHED
Object Úhlava E106750 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: Úhlava | Statement: [Pilsen, locatedOnRiver, Úhlava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Úhlava
Context triple: [Pilsen, locatedOnRiver, Úhlava]
  • A. Úhlava chosen
    Úhlava is a river in the Czech Republic that flows through the city of Plzeň and is one of the region’s notable waterways.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Letňany
    Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
  • D. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • E. Hrabove
    Hrabove is a village in eastern Ukraine internationally known as the nearby site where Malaysia Airlines Flight 17 was shot down in 2014.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.