Triple

T23022871
Position Surface form Disambiguated ID Type / Status
Subject Töv Province E573214 entity
Predicate borders P224 FINISHED
Object Dundgovi Province — NE NERFINISHED

How this triple was built (3 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: Dundgovi Province | Statement: [Töv Province, borders, Dundgovi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dundgovi Province
Context triple: [Töv Province, borders, Dundgovi Province]
  • A. Govisümber Province
    Govisümber Province is a small administrative region in central Mongolia known for its location along major transportation routes and proximity to the capital, Ulaanbaatar.
  • B. Dornogovi Province
    Dornogovi Province is a sparsely populated desert region in southeastern Mongolia known for its arid Gobi landscapes and mining activities.
  • C. Khentii Province
    Khentii Province is an eastern Mongolian province known as the birthplace of Genghis Khan and for its mountainous, sparsely populated landscapes.
  • D. Wasgau region
    The Wasgau region is a scenic low-mountain landscape spanning parts of southwestern Germany and northeastern France, known for its sandstone cliffs, forests, and medieval castles.
  • E. Darlac Province
    Darlac Province was a former administrative region in Vietnam’s Central Highlands, historically known for its diverse indigenous populations and extensive coffee-growing highlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dundgovi Province
Target entity description: Dundgovi Province is a sparsely populated region in south-central Mongolia known for its semi-desert steppe landscape, herding culture, and traditional Mongolian lifestyle.
  • A. Govisümber Province
    Govisümber Province is a small administrative region in central Mongolia known for its location along major transportation routes and proximity to the capital, Ulaanbaatar.
  • B. Dornogovi Province
    Dornogovi Province is a sparsely populated desert region in southeastern Mongolia known for its arid Gobi landscapes and mining activities.
  • C. Khentii Province
    Khentii Province is an eastern Mongolian province known as the birthplace of Genghis Khan and for its mountainous, sparsely populated landscapes.
  • D. Wasgau region
    The Wasgau region is a scenic low-mountain landscape spanning parts of southwestern Germany and northeastern France, known for its sandstone cliffs, forests, and medieval castles.
  • E. Darlac Province
    Darlac Province was a former administrative region in Vietnam’s Central Highlands, historically known for its diverse indigenous populations and extensive coffee-growing highlands.
  • F. None of above. chosen

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.