Triple

T1346102
Position Surface form Disambiguated ID Type / Status
Subject Daugava River E28573 entity
Predicate hasTributary P415 FINISHED
Object Zilupe River E291643 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: Zilupe River | Statement: [Daugava River, hasTributary, Zilupe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zilupe River
Context triple: [Daugava River, hasTributary, Zilupe River]
  • A. Shashe River
    The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo River.
  • B. Ludza River chosen
    The Ludza River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
  • C. Regalica River
    The Regalica River is a distributary of the Oder River in northwestern Poland that flows through the city of Szczecin and forms part of its important inland waterway system.
  • D. Siul River
    The Siul River is a lesser-known river in the northern Indian subcontinent that feeds into the Ravi River within the Indus River basin.
  • E. Adhaim River
    The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69afc00ddbf48190866fb79b4b4a2857 completed March 10, 2026, 6:54 a.m.
Created at: March 1, 2026, 7:56 p.m.