Triple

T4893414
Position Surface form Disambiguated ID Type / Status
Subject Tibetan E109616 entity
Predicate primaryRegion P1103 FINISHED
Object Yunnan E38274 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: Yunnan | Statement: [Tibetan, primaryRegion, Yunnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunnan
Context triple: [Tibetan, primaryRegion, Yunnan]
  • A. Yunnan Province chosen
    Yunnan Province is a mountainous, ethnically diverse region in southwest China known for its rich biodiversity, tea culture, and border location with countries such as Myanmar, Laos, and Vietnam.
  • B. Maipo Province
    Maipo Province is an administrative division in central Chile, located in the Santiago Metropolitan Region and known for its agricultural areas and proximity to the capital.
  • C. Guizhou Province
    Guizhou Province is a mountainous, ethnically diverse region in southwest China known for its karst landscapes, cool climate, and rapid economic development.
  • D. Honghe
    Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
  • E. Wenshan
    Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e257b0481909fd60eb29351b6d8 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc2f00881908cae1e68df2019e3 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.