Triple
T9171931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oncheonjang Station |
E220100
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object |
온천장역
온천장역은 부산광역시 동래구에 위치한 부산 도시철도 1호선의 역으로, 인근 온천 관광지와 주거 지역을 연결하는 도시철도 역이다.
|
E781608
|
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: 온천장역 | Statement: [Oncheonjang Station, hasNativeName, 온천장역]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 온천장역 Context triple: [Oncheonjang Station, hasNativeName, 온천장역]
-
A.
Jonggak Station
Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
-
B.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
C.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
D.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
-
E.
Dorasan Station
Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
- 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: 온천장역 Triple: [Oncheonjang Station, hasNativeName, 온천장역]
Generated description
온천장역은 부산광역시 동래구에 위치한 부산 도시철도 1호선의 역으로, 인근 온천 관광지와 주거 지역을 연결하는 도시철도 역이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 온천장역 Target entity description: 온천장역은 부산광역시 동래구에 위치한 부산 도시철도 1호선의 역으로, 인근 온천 관광지와 주거 지역을 연결하는 도시철도 역이다.
-
A.
Jonggak Station
Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
-
B.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
C.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
D.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
-
E.
Dorasan Station
Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549d81d88190bea0995ad0016437 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.