Triple

T18307994
Position Surface form Disambiguated ID Type / Status
Subject Alytus County E438538 entity
Predicate hasMajorRiver P165 FINISHED
Object Šešupė River 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: Šešupė River | Statement: [Alytus County, hasMajorRiver, Šešupė River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šešupė River
Context triple: [Alytus County, hasMajorRiver, Šešupė River]
  • A. Šešupė River chosen
    The Šešupė River is a transboundary river in northeastern Europe that flows through Poland, Lithuania, and Russia before joining the Neman River.
  • B. Bērzaune River
    Bērzaune River is a small river in Latvia that flows through the village of Bērzaune and its surrounding region.
  • C. Babrungas River
    The Babrungas River is a waterway in western Lithuania that flows through the town of Plungė before joining the Minija River basin.
  • D. Šalčia River
    The Šalčia River is a smaller river in southeastern Lithuania that flows through forested and rural areas before joining the Merkys River.
  • E. Lielupe River
    The Lielupe River is a major river in Latvia that flows through the country’s central lowlands before emptying into the Gulf of Riga in the Baltic Sea.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.