Triple

T1173120
Position Surface form Disambiguated ID Type / Status
Subject Ulaanbaatar E24958 entity
Predicate formerName P65 FINISHED
Object Niislel Khüree E133159 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: Niislel Khüree | Statement: [Ulaanbaatar, formerName, Niislel Khüree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niislel Khüree
Context triple: [Ulaanbaatar, formerName, Niislel Khüree]
  • A. Urga chosen
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • B. Chuvan
    The Chuvan are a small Indigenous Siberian people traditionally inhabiting parts of northeastern Russia, with a culture shaped by reindeer herding, hunting, and Arctic riverine environments.
  • C. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • D. Tsageri
    Tsageri is a small town in western Georgia that serves as an administrative and cultural center of the mountainous Racha-Lechkhumi region.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcecab688190b21a926874cd98d1 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1a13bc81909da2cfdbad397861 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.