Triple

T7301470
Position Surface form Disambiguated ID Type / Status
Subject Han River E167863 entity
Predicate KoreanName P17869 FINISHED
Object Hangang
Hangang is the Korean name for the Han River, a major waterway flowing through Seoul and central to the city's landscape, history, and recreation.
 E657556 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: Hangang | Statement: [Han River, KoreanName, Hangang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hangang
Context triple: [Han River, KoreanName, Hangang]
  • A. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • B. Junggu
    Junggu is the romanized name for Jung District, a central administrative and commercial area found in several major South Korean cities.
  • C. Tangtse
    Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • E. Tillangchong
    Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
  • 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: Hangang
Triple: [Han River, KoreanName, Hangang]
Generated description
Hangang is the Korean name for the Han River, a major waterway flowing through Seoul and central to the city's landscape, history, and recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hangang
Target entity description: Hangang is the Korean name for the Han River, a major waterway flowing through Seoul and central to the city's landscape, history, and recreation.
  • A. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • B. Junggu
    Junggu is the romanized name for Jung District, a central administrative and commercial area found in several major South Korean cities.
  • C. Tangtse
    Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • E. Tillangchong
    Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eee71f5c8190aaff605eeff07390 completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:01 p.m.