Triple

T15482365
Position Surface form Disambiguated ID Type / Status
Subject Tolyatti E376949 entity
Predicate foundedAs P364 FINISHED
Object Stavropol-on-Volga E1224986 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: Stavropol-on-Volga | Statement: [Tolyatti, foundedAs, Stavropol-on-Volga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavropol-on-Volga
Context triple: [Tolyatti, foundedAs, Stavropol-on-Volga]
  • A. Stavropol-on-Volga chosen
    Stavropol-on-Volga was the original name of the Russian city now known as Togliatti, a major industrial center on the Volga River.
  • B. 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.
  • C. Stavropol
    Stavropol is a major administrative, cultural, and economic center in southwestern Russia, serving as the capital of Stavropol Krai in the North Caucasus region.
  • D. Rostov-on-Don
    Rostov-on-Don is a major port city in southern Russia, located on the Don River near the Sea of Azov and serving as an important administrative, cultural, and industrial center of the region.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 3:38 a.m.