Triple
T14241503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwanak-gu |
E353016
|
entity |
| Predicate | hasSubwayStation |
P726
|
FINISHED |
| Object |
Sadang Station
Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
|
E1098300
|
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: Sadang Station | Statement: [Gwanak-gu, hasSubwayStation, Sadang Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadang Station Context triple: [Gwanak-gu, hasSubwayStation, Sadang Station]
-
A.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Jonggak Station
Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
-
C.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
D.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
- 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: Sadang Station Triple: [Gwanak-gu, hasSubwayStation, Sadang Station]
Generated description
Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sadang Station Target entity description: Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
-
A.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Jonggak Station
Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
-
C.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
D.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55008a5c8190b005a12df7ef2f75 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5658f6c081908ab936c8a596f0d5 |
completed | May 8, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd56c0821c8190bcd56754575671cb |
completed | May 8, 2026, 3:21 a.m. |
Created at: April 10, 2026, 1:08 a.m.