Triple

T7261155
Position Surface form Disambiguated ID Type / Status
Subject Bupyeong District E159653 entity
Predicate hasMajorStation P1071 FINISHED
Object Dongsu Station
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
E672943 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: Dongsu Station | Statement: [Bupyeong District, hasMajorStation, Dongsu Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongsu Station
Context triple: [Bupyeong District, hasMajorStation, Dongsu Station]
  • A. Dongchun Station
    Dongchun Station is a subway station located in the Yeonsu District of Incheon, South Korea, serving local commuters and connecting them to the wider metropolitan transit network.
  • B. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • D. Miryang Station
    Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
  • E. Sangmu Station
    Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
  • 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: Dongsu Station
Triple: [Bupyeong District, hasMajorStation, Dongsu Station]
Generated description
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dongsu Station
Target entity description: Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
  • A. Dongchun Station
    Dongchun Station is a subway station located in the Yeonsu District of Incheon, South Korea, serving local commuters and connecting them to the wider metropolitan transit network.
  • B. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • D. Miryang Station
    Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
  • E. Sangmu Station
    Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac79fd081909274aa10ffb192aa completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8569fbf4081909897b0e5456cd66a completed March 28, 2026, 10:30 p.m.
NEDg Description generation batch_69c857ca74808190968fe68a0e4cc77b completed March 28, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69c858184a0c81909ce2789371e37c05 completed March 28, 2026, 10:37 p.m.
Created at: March 27, 2026, 2:57 p.m.