Triple

T5943464
Position Surface form Disambiguated ID Type / Status
Subject Jelgava E132222 entity
Predicate isOnRiver P165 FINISHED
Object Lielupe River E300005 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: Lielupe River | Statement: [Jelgava, isOnRiver, Lielupe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lielupe River
Context triple: [Jelgava, isOnRiver, 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. Ludza River
    The Ludza River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
  • D. Jägala River
    The Jägala River is a notable river in northern Estonia known for its scenic Jägala Waterfall before it flows into the Gulf of Finland.
  • E. Olza River
    The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8108dda308190bb3b7209efe132bb completed March 28, 2026, 5:31 p.m.
Created at: March 22, 2026, 4:01 p.m.