Triple

T17516393
Position Surface form Disambiguated ID Type / Status
Subject Semigallia E426578 entity
Predicate hasRiver P165 FINISHED
Object Lielupe 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: Lielupe River | Statement: [Semigallia, hasRiver, Lielupe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lielupe River
Context triple: [Semigallia, hasRiver, Lielupe River]
  • A. Lielupe River chosen
    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.
  • B. Vaivase River
    Vaivase River is a waterway in Samoa that flows through the area of Apia, contributing to the capital’s local watershed and landscape.
  • C. Šalčia River
    The Šalčia River is a smaller river in southeastern Lithuania that flows through forested and rural areas before joining the Merkys River.
  • D. Lėvuo River
    The Lėvuo River is a waterway in northern Lithuania that flows through the Panevėžys region before joining the Nevėžis River.
  • E. Ludza River
    The Ludza River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.