Triple

T2482107
Position Surface form Disambiguated ID Type / Status
Subject Volgograd Reservoir E55840 entity
Predicate locatedNear P294 FINISHED
Object Kamyshin E237038 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: Kamyshin | Statement: [Volgograd Reservoir, locatedNear, Kamyshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamyshin
Context triple: [Volgograd Reservoir, locatedNear, Kamyshin]
  • A. Kamyshin chosen
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • B. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
  • C. Stavropol Upland
    Stavropol Upland is a hilly elevated region in southwestern Russia known for its fertile soils and significant role in the agriculture and landscape of Stavropol Krai.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Syzran
    Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24ab711808190a7da65abdc663cb4 completed March 12, 2026, 5:10 a.m.
Created at: March 6, 2026, 9:45 p.m.