Triple

T17240128
Position Surface form Disambiguated ID Type / Status
Subject Lyunda River E418469 entity
Predicate tributaryOf P415 FINISHED
Object Vetluga 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: Vetluga River | Statement: [Lyunda River, tributaryOf, Vetluga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetluga River
Context triple: [Lyunda River, tributaryOf, Vetluga River]
  • A. Vetluga River chosen
    The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
  • B. Vozha River
    The Vozha River is a waterway in western Russia historically notable as the site of a major 14th-century battle between the Grand Duchy of Moscow and the Golden Horde.
  • C. Vasyugan River
    The Vasyugan River is a significant waterway in southwestern Siberia, Russia, known for draining vast swampy lowlands before joining the Ob River.
  • D. Votka River
    The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
  • E. Snezhnaya River
    The Snezhnaya River is a Siberian river in Russia that serves as one of the tributaries feeding into Lake Baikal.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
Created at: April 10, 2026, 5:39 a.m.