Triple

T15200573
Position Surface form Disambiguated ID Type / Status
Subject 오산시 E363256 entity
Predicate hasRailwayStation P918 FINISHED
Object 오산대역
오산대역은 경기도 오산시에 위치한 수도권 전철 1호선의 역으로, 오산대학과 인근 지역을 연결하는 주요 교통 거점이다.
E1144210 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: 오산대역 | Statement: [오산시, hasRailwayStation, 오산대역]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 오산대역
Context triple: [오산시, hasRailwayStation, 오산대역]
  • A. Gwanak Station
    Gwanak Station is a railway station in South Korea that serves the city of Anyang and connects it to the broader Seoul metropolitan rail network.
  • B. Yeongdeungpo Station
    Yeongdeungpo Station is a major railway and subway interchange in Seoul, South Korea, serving as an important transportation and commercial hub for the Yeongdeungpo area.
  • C. Hongik University Station
    Hongik University Station is a major subway station in Seoul’s Mapo District, serving the popular Hongdae area known for its universities, nightlife, and arts scene.
  • D. Suwon Station
    Suwon Station is a major railway and subway hub in Suwon, South Korea, serving as a key transit, commercial, and regional transportation center.
  • E. Seoul National University Station
    Seoul National University Station is a major Seoul Metropolitan Subway stop serving the area near Seoul National University in southern Seoul.
  • 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: 오산대역
Triple: [오산시, hasRailwayStation, 오산대역]
Generated description
오산대역은 경기도 오산시에 위치한 수도권 전철 1호선의 역으로, 오산대학과 인근 지역을 연결하는 주요 교통 거점이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 오산대역
Target entity description: 오산대역은 경기도 오산시에 위치한 수도권 전철 1호선의 역으로, 오산대학과 인근 지역을 연결하는 주요 교통 거점이다.
  • A. Gwanak Station
    Gwanak Station is a railway station in South Korea that serves the city of Anyang and connects it to the broader Seoul metropolitan rail network.
  • B. Yeongdeungpo Station
    Yeongdeungpo Station is a major railway and subway interchange in Seoul, South Korea, serving as an important transportation and commercial hub for the Yeongdeungpo area.
  • C. Hongik University Station
    Hongik University Station is a major subway station in Seoul’s Mapo District, serving the popular Hongdae area known for its universities, nightlife, and arts scene.
  • D. Suwon Station
    Suwon Station is a major railway and subway hub in Suwon, South Korea, serving as a key transit, commercial, and regional transportation center.
  • E. Seoul National University Station
    Seoul National University Station is a major Seoul Metropolitan Subway stop serving the area near Seoul National University in southern Seoul.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3363f688190a5c728846bea743a completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed76d6a888190b44efa490df4b6d0 completed May 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69feda443c64819087cb16ce742e7cc5 completed May 9, 2026, 6:55 a.m.
Created at: April 10, 2026, 3:10 a.m.