Triple

T16305839
Position Surface form Disambiguated ID Type / Status
Subject Nagqu Prefecture-level City E395907 entity
Predicate administrativeCenter P1474 FINISHED
Object Nagqu E395906 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: Nagqu | Statement: [Nagqu Prefecture-level City, administrativeCenter, Nagqu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagqu
Context triple: [Nagqu Prefecture-level City, administrativeCenter, Nagqu]
  • A. Nagqu chosen
    Nagqu is a high-altitude town and prefecture-level area in northern Tibet, China, known as a key stop on the Qinghai–Tibet route and a gateway to the surrounding plateau and mountain regions.
  • B. Nagche
    Nagche are a subgroup of the Mapuche people in southern Chile, culturally related to the Lafkenche and known for their distinct territorial and social organization.
  • C. Nyima
    Nyima is an alternative name for the Daka language, a lesser-known Niger-Congo language spoken in parts of West Africa.
  • D. Kangtega
    Kangtega is a prominent Himalayan peak in Nepal’s Khumbu region, known for its distinctive saddle-shaped summit and challenging climbing routes.
  • E. Nadaun
    Nadaun is a town in the Hamirpur district of Himachal Pradesh, India, situated along the Beas River and known for its historical significance and scenic surroundings.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003550fc0c8190ba78666da8b3cd81 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:06 a.m.