Triple

T8177243
Position Surface form Disambiguated ID Type / Status
Subject SRT (via some services to Busan area) E190967 entity
Predicate connectsCity P4245 FINISHED
Object Suseo
Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
 E716386 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: Suseo | Statement: [SRT (via some services to Busan area), connectsCity, Suseo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suseo
Context triple: [SRT (via some services to Busan area), connectsCity, Suseo]
  • A. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • B. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • C. Solin
    Solin is a town in Croatia near Split, known as the modern successor to the ancient Roman city of Salona.
  • D. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • E. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • 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: Suseo
Triple: [SRT (via some services to Busan area), connectsCity, Suseo]
Generated description
Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suseo
Target entity description: Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
  • A. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • B. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • C. Solin
    Solin is a town in Croatia near Split, known as the modern successor to the ancient Roman city of Salona.
  • D. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • E. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4aba0dd88190828080d0d89612eb completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf75bf2481908d585f7017be36a5 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc313ba7c81909b9ee65b37ed165e completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd85aa2888190bd167148b21a3f93 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:40 p.m.