Triple

T14171750
Position Surface form Disambiguated ID Type / Status
Subject Transbaikal E351224 entity
Predicate bordersWith P224 FINISHED
Object Mongolia E23408 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: Mongolia | Statement: [Transbaikal, bordersWith, Mongolia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongolia
Context triple: [Transbaikal, bordersWith, Mongolia]
  • A. Mongolia chosen
    Mongolia is a landlocked nation in East and Central Asia known for its vast steppes, nomadic culture, and historical legacy as the heartland of the Mongol Empire founded by Genghis Khan.
  • B. Tyva Republic
    The Tyva Republic is a federal subject of Russia located in southern Siberia, known for its mountainous terrain, traditional Tuvan culture, and throat singing.
  • C. Russia and Mongolia
    Russia and Mongolia are neighboring countries in northern Eurasia that share a long land border across the Central Asian steppe and mountain regions.
  • D. Öndörkhaan, Mongolia
    Öndörkhaan is a town in eastern Mongolia known historically as the site where Chinese marshal Lin Biao died in a 1971 plane crash.
  • E. northern Mongolia
    Northern Mongolia is a sparsely populated, high-altitude region characterized by steppe, taiga forests, and mountains, forming part of the headwaters for major rivers that flow into Siberia and Central Asia.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.