Triple

T8437604
Position Surface form Disambiguated ID Type / Status
Subject Taehwa River E199267 entity
Predicate region P40 FINISHED
Object Yeongnam
Yeongnam is a southeastern region of South Korea that includes major cities like Busan and Daegu and is known for its industrial centers and rich cultural heritage.
 E740413 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: Yeongnam | Statement: [Taehwa River, region, Yeongnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yeongnam
Context triple: [Taehwa River, region, Yeongnam]
  • A. Gyeongbuk
    Gyeongbuk is a province in eastern South Korea known for its historical sites, cultural heritage, and scenic rural landscapes.
  • B. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • C. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • D. Anseongcheon
    Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
  • E. Minho region
    The Minho region is a historic and culturally rich area in northwest Portugal, known for its lush green landscapes, traditional cuisine, and production of Vinho Verde wine.
  • 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: Yeongnam
Triple: [Taehwa River, region, Yeongnam]
Generated description
Yeongnam is a southeastern region of South Korea that includes major cities like Busan and Daegu and is known for its industrial centers and rich cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yeongnam
Target entity description: Yeongnam is a southeastern region of South Korea that includes major cities like Busan and Daegu and is known for its industrial centers and rich cultural heritage.
  • A. Gyeongbuk
    Gyeongbuk is a province in eastern South Korea known for its historical sites, cultural heritage, and scenic rural landscapes.
  • B. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • C. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • D. Anseongcheon
    Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
  • E. Minho region
    The Minho region is a historic and culturally rich area in northwest Portugal, known for its lush green landscapes, traditional cuisine, and production of Vinho Verde wine.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ceee5a48190a3858a341534f7f1 completed April 2, 2026, 1:19 p.m.
NEDg Description generation batch_69ce6e66c5e48190badcc5e075892006 completed April 2, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f0cc434819089e78d24dfee5361 completed April 2, 2026, 1:28 p.m.
Created at: March 30, 2026, 6:08 p.m.