Triple

T9161499
Position Surface form Disambiguated ID Type / Status
Subject Jiangmen E219834 entity
Predicate hasAlternativeName P39 FINISHED
Object Kongmoon
Kongmoon is the former English name for Jiangmen, a city in Guangdong Province, China, historically known as a key port and center of overseas Chinese emigration.
 E782661 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: Kongmoon | Statement: [Jiangmen, hasAlternativeName, Kongmoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kongmoon
Context triple: [Jiangmen, hasAlternativeName, Kongmoon]
  • A. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • B. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • C. Jemulpo
    Jemulpo is the former name of the port city now known as Incheon in South Korea, historically significant as a major gateway for international trade and foreign contact.
  • D. Wangtoo
    Wangtoo is a small settlement in Himachal Pradesh, India, known primarily for its proximity to the Karcham Wangtoo hydroelectric dam on the Sutlej River.
  • E. Se Kong
    Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
  • 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: Kongmoon
Triple: [Jiangmen, hasAlternativeName, Kongmoon]
Generated description
Kongmoon is the former English name for Jiangmen, a city in Guangdong Province, China, historically known as a key port and center of overseas Chinese emigration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kongmoon
Target entity description: Kongmoon is the former English name for Jiangmen, a city in Guangdong Province, China, historically known as a key port and center of overseas Chinese emigration.
  • A. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • B. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • C. Jemulpo
    Jemulpo is the former name of the port city now known as Incheon in South Korea, historically significant as a major gateway for international trade and foreign contact.
  • D. Wangtoo
    Wangtoo is a small settlement in Himachal Pradesh, India, known primarily for its proximity to the Karcham Wangtoo hydroelectric dam on the Sutlej River.
  • E. Se Kong
    Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d05560d6888190b4faf3406f9ff9f2 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d059161a1881909ceaaf8b0893dbea completed April 4, 2026, 12:19 a.m.
Created at: March 30, 2026, 7:21 p.m.