Triple

T2464156
Position Surface form Disambiguated ID Type / Status
Subject Canton E55203 entity
Predicate hasAlternativeName P39 FINISHED
Object Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
E268174 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: Kwang-chou | Statement: [Canton, hasAlternativeName, Kwang-chou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwang-chou
Context triple: [Canton, hasAlternativeName, Kwang-chou]
  • A. Kong He
    Kong He was the father of the ancient Chinese philosopher Confucius and a minor aristocratic military officer in the state of Lu.
  • B. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • C. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • D. Kangchungtse
    Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • E. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • 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: Kwang-chou
Triple: [Canton, hasAlternativeName, Kwang-chou]
Generated description
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kwang-chou
Target entity description: Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • A. Kong He
    Kong He was the father of the ancient Chinese philosopher Confucius and a minor aristocratic military officer in the state of Lu.
  • B. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • C. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • D. Kangchungtse
    Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • E. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd12059788190a6493f64bb725aed completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d6ed7481909e900f947463d5d8 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef186935c81909301659a96e1a4e2 completed March 9, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69aef8272668819084626e890a49e1b3 completed March 9, 2026, 4:41 p.m.
Created at: March 6, 2026, 9:44 p.m.