Triple
T19540607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 3 |
E488887
|
entity |
| Predicate | extendedTo |
P1673
|
FINISHED |
| Object | Daehwa Station |
—
|
NE NERFINISHED |
How this triple was built (2 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: Daehwa Station | Statement: [Seoul Subway Line 3, extendedTo, Daehwa Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daehwa Station Context triple: [Seoul Subway Line 3, extendedTo, Daehwa Station]
-
A.
Daehwa station
chosen
Daehwa station is a subway station in Goyang, South Korea, serving as the western terminus of Seoul Subway Line 3 and providing access to nearby residential and commercial areas.
-
B.
Taereung Station
Taereung Station is a subway station in Seoul, South Korea, serving as an interchange between Line 6 and Line 7 of the Seoul Metropolitan Subway.
-
C.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
D.
Jeongja Station
Jeongja Station is a major subway station in Seongnam, South Korea, serving as a key hub that connects the Shinbundang Line with other local transit routes.
-
E.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63872fda48190bbb1f465cb7b57fe |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.