Triple

T6321412
Position Surface form Disambiguated ID Type / Status
Subject Zhenjin E141746 entity
Predicate alsoKnownAs P39 FINISHED
Object Chin-kim
Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
E585133 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: Chin-kim | Statement: [Zhenjin, alsoKnownAs, Chin-kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chin-kim
Context triple: [Zhenjin, alsoKnownAs, Chin-kim]
  • A. 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.
  • B. Bom Kim
    Bom Kim is a Korean-American entrepreneur best known as the founder and CEO of Coupang, one of South Korea’s largest e-commerce companies.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • E. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • 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: Chin-kim
Triple: [Zhenjin, alsoKnownAs, Chin-kim]
Generated description
Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chin-kim
Target entity description: Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
  • A. 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.
  • B. Bom Kim
    Bom Kim is a Korean-American entrepreneur best known as the founder and CEO of Coupang, one of South Korea’s largest e-commerce companies.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • E. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c76dfc8190a1d44fd0c4402a0e completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48a8c5c819099f21fdff1ce43f3 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f8b0e0e48190896cc2abc6b26b89 completed March 27, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c5f92a87148190b3c38f312a4901a4 completed March 27, 2026, 3:27 a.m.
Created at: March 22, 2026, 4:29 p.m.