Triple

T7206917
Position Surface form Disambiguated ID Type / Status
Subject Incheon Subway Line 2 E148687 entity
Predicate terminus P388 FINISHED
Object Unyeon station
Unyeon station is a subway station in Incheon, South Korea, serving as one end of the Incheon Subway Line 2.
 E657379 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: Unyeon station | Statement: [Incheon Subway Line 2, terminus, Unyeon station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unyeon station
Context triple: [Incheon Subway Line 2, terminus, Unyeon station]
  • A. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Yeonsu Station
    Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
  • C. Gyeyang Station
    Gyeyang Station is a major transit hub in Incheon, South Korea, serving as an interchange between the Incheon Subway, AREX airport railroad, and local bus routes.
  • D. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • E. Jinju Station
    Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
  • 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: Unyeon station
Triple: [Incheon Subway Line 2, terminus, Unyeon station]
Generated description
Unyeon station is a subway station in Incheon, South Korea, serving as one end of the Incheon Subway Line 2.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unyeon station
Target entity description: Unyeon station is a subway station in Incheon, South Korea, serving as one end of the Incheon Subway Line 2.
  • A. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Yeonsu Station
    Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
  • C. Gyeyang Station
    Gyeyang Station is a major transit hub in Incheon, South Korea, serving as an interchange between the Incheon Subway, AREX airport railroad, and local bus routes.
  • D. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • E. Jinju Station
    Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e969c5fc819096bc03bfba12d0cf completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eec9fcd88190905139f6e4eb7684 completed March 28, 2026, 3:07 p.m.
NEDg Description generation batch_69c7f04757488190913fc9bdfdfb22fe completed March 28, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7f09fd1088190b224b315e076b19a completed March 28, 2026, 3:15 p.m.
Created at: March 27, 2026, 2:52 p.m.