Triple

T11372692
Position Surface form Disambiguated ID Type / Status
Subject Tuul River E269381 entity
Predicate flowsThrough P225 FINISHED
Object Selenge Province E563411 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: Selenge Province | Statement: [Tuul River, flowsThrough, Selenge Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selenge Province
Context triple: [Tuul River, flowsThrough, Selenge Province]
  • A. Bayan-Ölgii Province
    Bayan-Ölgii Province is a western Mongolian region known for its predominantly ethnic Kazakh population, distinct Turkic culture, and mountainous Altai landscapes.
  • B. Khentii Province
    Khentii Province is an eastern Mongolian province known as the birthplace of Genghis Khan and for its mountainous, sparsely populated landscapes.
  • C. Khovd Province
    Khovd Province is a western Mongolian administrative region known for its ethnic diversity, rugged mountains, and role as a historical trade and cultural crossroads.
  • D. Khorol Uyezd
    Khorol Uyezd was an administrative district within the Russian Empire, located in what is now central Ukraine.
  • E. Selenge chosen
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568516a481909ea66cbe53968e84 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.