Triple

T15078795
Position Surface form Disambiguated ID Type / Status
Subject Vokhma River E380079 entity
Predicate tributaryOf P415 FINISHED
Object Vetluga River E56437 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: Vetluga River | Statement: [Vokhma River, tributaryOf, Vetluga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetluga River
Context triple: [Vokhma 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. Vasyugan River
    The Vasyugan River is a significant waterway in southwestern Siberia, Russia, known for draining vast swampy lowlands before joining the Ob River.
  • C. Votka River
    The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
  • D. Snezhnaya River
    The Snezhnaya River is a Siberian river in Russia that serves as one of the tributaries feeding into Lake Baikal.
  • E. Yaga River
    The Yaga River is a mountain river in the Spanish Pyrenees that carves through the Escuaín Gorge within the Ordesa y Monte Perdido National Park.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232149f88190b385fca6a7588d7b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 3:03 a.m.