Triple

T2105279
Position Surface form Disambiguated ID Type / Status
Subject Hainan E37179 entity
Predicate hasCity P316 FINISHED
Object Dongfang
Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
 E233740 NE FINISHED

How this triple was built (4 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: Dongfang | Statement: [Hainan, hasCity, Dongfang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dongfang
Context triple: [Hainan, hasCity, Dongfang]
  • A. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • B. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • C. Zhengyia
    Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Yue
    Yue is a given name that appears in various East Asian cultures, often associated with meanings like "moon" or "delight" depending on the characters used.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dongfang
Triple: [Hainan, hasCity, Dongfang]
Generated description
Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dongfang
Target entity description: Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • A. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • B. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • C. Zhengyia
    Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Yue
    Yue is a given name that appears in various East Asian cultures, often associated with meanings like "moon" or "delight" depending on the characters used.
  • F. None of above. chosen

Provenance (5 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30e1c7488190acd6d29c5ad10c33 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.