Triple

T15542230
Position Surface form Disambiguated ID Type / Status
Subject Khanty-Mansi Autonomous Okrug E370506 entity
Predicate hasMajorCity P316 FINISHED
Object Nefteyugansk E1186955 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: Nefteyugansk | Statement: [Khanty-Mansi Autonomous Okrug, hasMajorCity, Nefteyugansk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nefteyugansk
Context triple: [Khanty-Mansi Autonomous Okrug, hasMajorCity, Nefteyugansk]
  • A. Nefteyugansk chosen
    Nefteyugansk is a major oil-producing city in western Siberia, Russia, known for its central role in the country’s petroleum industry.
  • B. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • C. Salekhard
    Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
  • D. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • E. Neftekamsk
    Neftekamsk is an industrial city in the Republic of Bashkortostan, Russia, known for its oil-related industries and vehicle manufacturing.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbba9fb08190b800af317f0c9abf completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:07 a.m.