Triple

T5734368
Position Surface form Disambiguated ID Type / Status
Subject Tyrnyauz E126463 entity
Predicate partOf P40 FINISHED
Object Elbrussky District E554809 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: Elbrussky District | Statement: [Tyrnyauz, partOf, Elbrussky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbrussky District
Context triple: [Tyrnyauz, partOf, Elbrussky District]
  • A. Elbrussky District chosen
    Elbrussky District is an administrative district in the Kabardino-Balkar Republic of Russia, located in the North Caucasus and known for encompassing part of the Mount Elbrus area.
  • B. Ulchsky District
    Ulchsky District is an administrative district in Khabarovsk Krai in Russia, located along the lower Amur River and known for its indigenous Ulch population and remote, sparsely populated territory.
  • C. Zavitinsky District
    Zavitinsky District is an administrative and municipal district in Amur Oblast, Russia, centered around the town of Zavitinsk.
  • D. Yurinsky District
    Yurinsky District is an administrative and municipal district in the Mari El Republic of Russia, characterized by its rural settlements and small population.
  • E. Kuvshinovsky District
    Kuvshinovsky District is an administrative district in Tver Oblast, Russia, encompassing rural localities such as the village of Pryamukhino.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e337729081909ff1a9d4cd20eeb9 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:47 p.m.