Triple

T689207
Position Surface form Disambiguated ID Type / Status
Subject Anhui E13352 entity
Predicate ISOCode P208 FINISHED
Object CN-AH
CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
E84959 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: CN-AH | Statement: [Anhui, ISOCode, CN-AH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN-AH
Context triple: [Anhui, ISOCode, CN-AH]
  • A. Henan Province
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • B. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • C. 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.
  • D. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • E. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • 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: CN-AH
Triple: [Anhui, ISOCode, CN-AH]
Generated description
CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CN-AH
Target entity description: CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
  • A. Henan Province
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • B. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • C. 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.
  • D. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • E. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca5b2688190bfe05a165c753211 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5ddeaef148190bb9877cee15959fd completed March 2, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69a5fea9df3481909331e3e382ad81ae completed March 2, 2026, 9:18 p.m.
Created at: March 1, 2026, 7:36 p.m.