Triple

T21943005
Position Surface form Disambiguated ID Type / Status
Subject Xinhui E541867 entity
Predicate province P604 FINISHED
Object Guangdong 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: Guangdong | Statement: [Xinhui, province, Guangdong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guangdong
Context triple: [Xinhui, province, Guangdong]
  • A. Guangdong Province chosen
    Guangdong Province is a populous and economically vital coastal region in southern China, known for major cities like Guangzhou and Shenzhen and its role as a manufacturing and trade hub.
  • B. Zhejiang Province
    Zhejiang Province is a coastal province in eastern China known for its dynamic private-sector economy, major port cities like Ningbo, and scenic areas such as Hangzhou and the West Lake.
  • C. Jiaozhi Province
    Jiaozhi Province was a Ming dynasty colonial administrative region established in northern Vietnam during the early 15th century.
  • D. Jiaying
    Jiaying is an Inhuman leader and Daisy Johnson’s mother in Marvel’s Agents of S.H.I.E.L.D., known for her tragic past and morally complex pursuit of protecting her people.
  • E. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242345dc8190aa6ddf61cf864e2d completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.