Triple

T19122439
Position Surface form Disambiguated ID Type / Status
Subject Mount Amnye Machen E468081 entity
Predicate locatedIn P40 FINISHED
Object Qinghai 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: Qinghai | Statement: [Mount Amnye Machen, locatedIn, Qinghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qinghai
Context triple: [Mount Amnye Machen, locatedIn, Qinghai]
  • A. Qinghai chosen
    Qinghai is a vast, sparsely populated province in northwestern China known for its high-altitude plateau landscapes, salt lakes like Qinghai Lake, and role as the source region of major Asian rivers.
  • B. Tibet Autonomous Region
    The Tibet Autonomous Region is a vast, high-altitude region in southwest China, centered on the Tibetan Plateau and known for its unique Tibetan culture, Buddhism, and dramatic Himalayan landscapes including Mount Everest.
  • C. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • D. Gansu Province
    Gansu Province is a north-central Chinese region historically significant as a Silk Road corridor and home to long stretches of the Great Wall and diverse desert and mountain landscapes.
  • E. Wuchuan
    Wuchuan is a county-level city administered by Zhanjiang in Guangdong Province, southern China.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c9dfcc819090f8424608892cb3 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.