Triple

T12664670
Position Surface form Disambiguated ID Type / Status
Subject Votkinsk E302516 entity
Predicate locatedOn P40 FINISHED
Object Votka River E332793 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: Votka River | Statement: [Votkinsk, locatedOn, Votka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Votka River
Context triple: [Votkinsk, locatedOn, Votka River]
  • A. Votka River chosen
    The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
  • 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. Vokhma River
    The Vokhma River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the larger Vetluga River system.
  • D. Kastornaya River
    The Kastornaya River is a waterway in western Russia that flows through the settlement of Kastornoye and forms part of the region’s local river system.
  • E. Vetluga River
    The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f404888190b7bb47bff1a7c1e1 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 5:19 p.m.