Triple

T4396526
Position Surface form Disambiguated ID Type / Status
Subject 汉阳 E99504 entity
Predicate partOf P40 FINISHED
Object 武汉三镇
武汉三镇是指由汉口、武昌和汉阳三地组成的湖北省省会武汉的核心城市格局与历史文化概念。
E99504 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: 武汉三镇 | Statement: [汉阳, partOf, 武汉三镇]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 武汉三镇
Context triple: [汉阳, partOf, 武汉三镇]
  • A. 汉阳
    汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
  • B. Hangzhou Greentown F.C.
    Hangzhou Greentown F.C. is a professional Chinese football club based in Hangzhou that has competed in the country’s top leagues and attracted notable international players.
  • C. Chengdu Rongcheng F.C.
    Chengdu Rongcheng F.C. is a professional Chinese football club based in Chengdu, Sichuan, competing in the Chinese Super League.
  • D. Sichuan Jiuniu F.C.
    Sichuan Jiuniu F.C. is a Chinese professional football club based in Sichuan that forms part of the global network of teams affiliated with City Football Group.
  • E. Shanghai Shenhua F.C.
    Shanghai Shenhua F.C. is a professional Chinese football club based in Shanghai that competes in the Chinese Super League and is one of the country’s most historically prominent teams.
  • 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: 武汉三镇
Triple: [汉阳, partOf, 武汉三镇]
Generated description
武汉三镇是指由汉口、武昌和汉阳三地组成的湖北省省会武汉的核心城市格局与历史文化概念。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 武汉三镇
Target entity description: 武汉三镇是指由汉口、武昌和汉阳三地组成的湖北省省会武汉的核心城市格局与历史文化概念。
  • A. 汉阳 chosen
    汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
  • B. Hangzhou Greentown F.C.
    Hangzhou Greentown F.C. is a professional Chinese football club based in Hangzhou that has competed in the country’s top leagues and attracted notable international players.
  • C. Chengdu Rongcheng F.C.
    Chengdu Rongcheng F.C. is a professional Chinese football club based in Chengdu, Sichuan, competing in the Chinese Super League.
  • D. Sichuan Jiuniu F.C.
    Sichuan Jiuniu F.C. is a Chinese professional football club based in Sichuan that forms part of the global network of teams affiliated with City Football Group.
  • E. Shanghai Shenhua F.C.
    Shanghai Shenhua F.C. is a professional Chinese football club based in Shanghai that competes in the Chinese Super League and is one of the country’s most historically prominent teams.
  • F. None of above.

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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352aca86c8190b5af7e6600072066 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e536e1848190a2517ab351adfe48 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5eeb01b848190b15f07e6bd028c56 completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef028a448190b873eb544688d200 completed March 14, 2026, 11:28 p.m.
Created at: March 12, 2026, 11:20 p.m.