Triple

T1695676
Position Surface form Disambiguated ID Type / Status
Subject Shaanxi Province E36651 entity
Predicate hasMajorCity P316 FINISHED
Object Ankang
Ankang is a prefecture-level city in southern Shaanxi Province, China, known for its mountainous terrain and location along the Han River.
 E204096 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: Ankang | Statement: [Shaanxi Province, hasMajorCity, Ankang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ankang
Context triple: [Shaanxi Province, hasMajorCity, Ankang]
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Hanchuan
    Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
  • C. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • D. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • E. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • 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: Ankang
Triple: [Shaanxi Province, hasMajorCity, Ankang]
Generated description
Ankang is a prefecture-level city in southern Shaanxi Province, China, known for its mountainous terrain and location along the Han River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ankang
Target entity description: Ankang is a prefecture-level city in southern Shaanxi Province, China, known for its mountainous terrain and location along the Han River.
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Hanchuan
    Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
  • C. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • D. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • E. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf46f51c8190bae3e47c97054188 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc1942da4819081fdcb4cc4b5f9f2 completed March 8, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69adc225e1ec8190adbc075f44b82419 completed March 8, 2026, 6:38 p.m.
Created at: March 4, 2026, 7:30 p.m.