Triple

T14932765
Position Surface form Disambiguated ID Type / Status
Subject Nevėžis River E372309 entity
Predicate flowsThrough P225 FINISHED
Object Panevėžys County E423168 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: Panevėžys County | Statement: [Nevėžis River, flowsThrough, Panevėžys County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panevėžys County
Context triple: [Nevėžis River, flowsThrough, Panevėžys County]
  • A. Panevėžys County chosen
    Panevėžys County is an administrative region in northern Lithuania centered on the city of Panevėžys and known for its mixed urban and agricultural landscape.
  • B. Šiauliai County
    Šiauliai County is one of the administrative counties of northern Lithuania, centered on the city of Šiauliai and known for its industrial base and cultural heritage.
  • C. Marijampolė County
    Marijampolė County is an administrative region in southern Lithuania known for its agricultural landscape and the city of Marijampolė as its capital.
  • D. Kėdainiai County
    Kėdainiai County is a historical region in central Lithuania known for its multicultural heritage and as the birthplace of Nobel Prize–winning poet Czesław Miłosz.
  • E. Kaunas County
    Kaunas County is an administrative region in central Lithuania that encompasses the country’s second-largest city, Kaunas, and serves as an important economic and cultural hub.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8ac6d08190809045a6d00a3d47 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.