Triple

T18870578
Position Surface form Disambiguated ID Type / Status
Subject Монгол Ардын Нам E461555 entity
Predicate headquartersLocation P62 FINISHED
Object Улаанбаатар хот NE NERFINISHED

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: Улаанбаатар хот | Statement: [Монгол Ардын Нам, headquartersLocation, Улаанбаатар хот]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Улаанбаатар хот
Context triple: [Монгол Ардын Нам, headquartersLocation, Улаанбаатар хот]
  • A. Ulaanbaatar chosen
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • B. Ulanhot
    Ulanhot is a county-level city in northeastern Inner Mongolia, China, known as a regional political and economic center and as the birthplace of the Inner Mongolia Autonomous Region.
  • C. Xilinhot
    Xilinhot is a city in Inner Mongolia, China, known as an important regional center on the Xilingol grasslands with a strong pastoral and Mongolian cultural heritage.
  • D. Ulanqab
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • E. Ulaangom
    Ulaangom is a small provincial capital in northwestern Mongolia, known for its remote location near the Russian border and Lake Uvs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a8c8208190a3d709e96ebe184f completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.