Triple

T5982876
Position Surface form Disambiguated ID Type / Status
Subject Urga E133159 entity
Predicate alternativeName P39 FINISHED
Object Ikh Khüree E558007 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: Ikh Khüree | Statement: [Urga, alternativeName, Ikh Khüree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikh Khüree
Context triple: [Urga, alternativeName, Ikh Khüree]
  • A. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • B. Bayan-Ölgii
    Bayan-Ölgii is a western Mongolian province known for its predominantly Kazakh population, rich nomadic culture, and dramatic Altai Mountain landscapes.
  • C. Tashanta–Tsagaannuur
    Tashanta–Tsagaannuur is a remote road border crossing point in the Altai region that connects Russia with Mongolia.
  • D. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • E. Niislel Khüree chosen
    Niislel Khüree was the historical name of Mongolia’s capital city, now known as Ulaanbaatar, during its period as a major religious and political center.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6a9f2c8190b900cd7e3ab9fe42 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1250912b48190a10dfdcc9b5a93e2 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:04 p.m.