Triple

T22568870
Position Surface form Disambiguated ID Type / Status
Subject Gandan Tegchinlen Khiid E558026 entity
Predicate locatedIn P40 FINISHED
Object Bayangol District 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: Bayangol District | Statement: [Gandan Tegchinlen Khiid, locatedIn, Bayangol District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayangol District
Context triple: [Gandan Tegchinlen Khiid, locatedIn, Bayangol District]
  • A. Bayangol District chosen
    Bayangol District is one of the central administrative districts of Ulaanbaatar, the capital city of Mongolia, known for its residential areas and commercial centers.
  • B. Adraskan District
    Adraskan District is an administrative district in western Afghanistan known for its rural communities and location within Herat Province.
  • C. Ak-Suu District
    Ak-Suu District is an administrative district in northeastern Kyrgyzstan, known for its mountainous terrain and significant river valleys near the border with Kazakhstan and China.
  • D. Oqqorgon District
    Oqqorgon District is an administrative district located within the Tashkent Region of Uzbekistan.
  • E. Bykhaw District
    Bykhaw District is an administrative district (raion) in the Mogilev Region of eastern Belarus, known for its rural settlements and historical sites.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fac7db08190ba4660535571498d completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.