Triple

T8234737
Position Surface form Disambiguated ID Type / Status
Subject King Wuling of Zhao E192376 entity
Predicate posthumousName P744 FINISHED
Object Wuling E373509 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: Wuling | Statement: [King Wuling of Zhao, posthumousName, Wuling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuling
Context triple: [King Wuling of Zhao, posthumousName, Wuling]
  • A. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • B. Wuling chosen
    Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
  • C. Yongqi
    Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
  • D. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • E. Jinling
    Jinling is an ancient name for the Chinese city now known as Nanjing, historically renowned as a major political and cultural center.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782931848190bcc54622f34e06a7 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34f0a770819089520e689ca9937a completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.