Triple

T7274789
Position Surface form Disambiguated ID Type / Status
Subject Os Guinness E162997 entity
Predicate birthPlace P1 FINISHED
Object Hsiangcheng, China
Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
 E653708 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: Hsiangcheng, China | Statement: [Os Guinness, birthPlace, Hsiangcheng, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hsiangcheng, China
Context triple: [Os Guinness, birthPlace, Hsiangcheng, China]
  • A. X’ian, China
    Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
  • B. Luchuan
    Luchuan is the endonym used by the Ryukyuan people to refer to themselves and their language and culture native to the Ryukyu Islands of Japan.
  • C. Canton, China
    Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • D. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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: Hsiangcheng, China
Triple: [Os Guinness, birthPlace, Hsiangcheng, China]
Generated description
Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hsiangcheng, China
Target entity description: Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • A. X’ian, China
    Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
  • B. Luchuan
    Luchuan is the endonym used by the Ryukyuan people to refer to themselves and their language and culture native to the Ryukyu Islands of Japan.
  • C. Canton, China
    Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • D. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0fd8788190aa21d4b2ad773926 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2936dc8190aed38888bb5e47b8 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df512bac81909e7c413302afd4ea completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfcdc3908190a7e5bf653b87ed00 completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:58 p.m.