Triple

T7767869
Position Surface form Disambiguated ID Type / Status
Subject Huaihua E178994 entity
Predicate ethnicGroupPresent P1898 FINISHED
Object Dong E287513 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: Dong | Statement: [Huaihua, ethnicGroupPresent, Dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong
Context triple: [Huaihua, ethnicGroupPresent, Dong]
  • A. Dong chosen
    The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
  • B. Dongfang
    Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • C. Dongyu
    Dongyu is the given name of Qu Dongyu, a Chinese agronomist and politician who has served as Director-General of the Food and Agriculture Organization of the United Nations.
  • D. Rodong
    Rodong is the abbreviated name of Rodong Sinmun, the official newspaper and primary propaganda outlet of North Korea’s ruling Workers’ Party.
  • E. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e4976c81909ff34dcdcae96999 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.