Triple
T20495002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sejong-daero |
E502846
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Sejong-daero |
—
|
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: Sejong-daero | Statement: [Sejong-daero, romanization, Sejong-daero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sejong-daero Context triple: [Sejong-daero, romanization, Sejong-daero]
-
A.
Sejong-daero
chosen
Sejong-daero is a major thoroughfare in central Seoul, South Korea, known for its historical landmarks, government buildings, and cultural significance.
-
B.
Gwangbok-dong
Gwangbok-dong is a central commercial and cultural neighborhood in Busan, South Korea, known for its bustling shopping streets and proximity to major downtown attractions.
-
C.
Nonhyeon-dong
Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
-
D.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
E.
Songdo-dong
Songdo-dong is a modern waterfront neighborhood in Incheon, South Korea, best known for hosting the high-tech, master-planned Songdo International Business District.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.