Triple
T19540599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 3 |
E488887
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Goyang |
—
|
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: Goyang | Statement: [Seoul Subway Line 3, connectsCity, Goyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goyang Context triple: [Seoul Subway Line 3, connectsCity, Goyang]
-
A.
Goyang
chosen
Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
-
B.
Gwanchang
Gwanchang was a famed young Hwarang warrior of the Silla kingdom in ancient Korea, celebrated for his exceptional bravery and loyalty in battle.
-
C.
Ga-yeong
Ga-yeong is a Korean feminine given name that can be borne by various real or fictional individuals.
-
D.
Honam
Honam is a southwestern region of South Korea known for its rich agricultural land, distinct cultural traditions, and major cities like Gwangju and Jeonju.
-
E.
Gwangyang
Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
- 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.