Triple
T19117230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 6 |
E467936
|
entity |
| Predicate | startStation |
P389
|
FINISHED |
| Object |
Eungam Station
Eungam Station is a subway station in Seoul, South Korea, serving as a key stop on Seoul Subway Line 6.
|
E1432666
|
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: Eungam Station | Statement: [Line 6, startStation, Eungam Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eungam Station Context triple: [Line 6, startStation, Eungam Station]
-
A.
Miryang Station
Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
-
B.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
C.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
D.
Unseo Station
Unseo Station is a railway station in Incheon, South Korea, serving the Airport Railroad Express (AREX) line that connects central Seoul with Incheon International Airport.
-
E.
Hwanggumbol Station
Hwanggumbol Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s underground lines.
- 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: Eungam Station Triple: [Line 6, startStation, Eungam Station]
Generated description
Eungam Station is a subway station in Seoul, South Korea, serving as a key stop on Seoul Subway Line 6.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eungam Station Target entity description: Eungam Station is a subway station in Seoul, South Korea, serving as a key stop on Seoul Subway Line 6.
-
A.
Miryang Station
Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
-
B.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
C.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
D.
Unseo Station
Unseo Station is a railway station in Incheon, South Korea, serving the Airport Railroad Express (AREX) line that connects central Seoul with Incheon International Airport.
-
E.
Hwanggumbol Station
Hwanggumbol Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s underground lines.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e399a6d8819090a9501ff1637b9d |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088af613dc81908d346f4df93f05fa |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c0f55348190b33ab62ed033ed39 |
completed | May 16, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d00188c8190bb8da973f31b1e47 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 10, 2026, 12:05 p.m.