Triple

T9150782
Position Surface form Disambiguated ID Type / Status
Subject Ningde E219579 entity
Predicate hasChineseName P4878 FINISHED
Object 宁德 E219579 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: 宁德 | Statement: [Ningde, hasChineseName, 宁德]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 宁德
Context triple: [Ningde, hasChineseName, 宁德]
  • A. Ningde chosen
    Ningde is a coastal prefecture-level city in northeastern Fujian Province, China, known for its mountainous landscapes, marine economy, and as the headquarters of battery giant CATL.
  • B. Zhangzhou
    Zhangzhou is a historic coastal city in southeastern China known for its agriculture, traditional Minnan culture, and proximity to Xiamen in Fujian Province.
  • C. Youxi County, Fujian
    Youxi County, Fujian is a county in central Fujian Province, China, best known as the birthplace of the influential Neo-Confucian philosopher Zhu Xi.
  • D. Fuzhou
    Fuzhou is the capital and largest city of China’s Fujian Province, known as a major coastal and river port with a long history of maritime trade and cultural exchange.
  • E. Zhao’an
    Zhao’an is a county-level area in southern Fujian Province, China, known for its coastal location and role as a regional transport and agricultural hub.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96b57888190a09a563f1fa522f6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0483cdd048190904260c44a5810cf completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.