Triple

T1766843
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Oblast E38781 entity
Predicate hasRiver P165 FINISHED
Object Svir River E106206 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: Svir River | Statement: [Leningrad Oblast, hasRiver, Svir River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svir River
Context triple: [Leningrad Oblast, hasRiver, Svir River]
  • A. Svir River chosen
    The Svir River is a waterway in northwestern Russia that links Lake Onega to Lake Ladoga and forms part of the Volga–Baltic waterway system.
  • B. Neisse River
    The Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
  • C. Klyazma River
    The Klyazma River is a significant waterway in western Russia that flows through several regions, including Moscow Oblast, before joining the Oka River.
  • D. Kotorosl River
    The Kotorosl River is a tributary of the Volga in central Russia that flows through the city of Yaroslavl and plays an important role in its landscape and history.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646914048190bbe282a3d4768835 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8367a288190ac4dcd2f06505982 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:31 p.m.