Triple

T17983651
Position Surface form Disambiguated ID Type / Status
Subject Zhonghe District E430168 entity
Predicate formerName P65 FINISHED
Object Chung-ho
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
E1306304 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: Chung-ho | Statement: [Zhonghe District, formerName, Chung-ho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chung-ho
Context triple: [Zhonghe District, formerName, Chung-ho]
  • A. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • B. Jinhae
    Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • C. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • D. Dong Ha
    Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
  • E. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • 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: Chung-ho
Triple: [Zhonghe District, formerName, Chung-ho]
Generated description
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chung-ho
Target entity description: Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
  • A. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • B. Jinhae
    Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • C. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • D. Dong Ha
    Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
  • E. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a037c28786c819084dfeface9fb7f18 completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037d6937688190b74b7b7e7ce92edc completed May 12, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_6a037def194081908f22a1db593617fc completed May 12, 2026, 7:22 p.m.
Created at: April 10, 2026, 10:23 a.m.