Triple
T23026594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeonji-dong |
E573330
|
entity |
| Predicate | Romanization |
P2508
|
FINISHED |
| Object | Kyŏnji-dong (MR) |
—
|
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: Kyŏnji-dong (MR) | Statement: [Gyeonji-dong, Romanization, Kyŏnji-dong (MR)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyŏnji-dong (MR) Context triple: [Gyeonji-dong, Romanization, Kyŏnji-dong (MR)]
-
A.
Changjŏn-dong
Changjŏn-dong is a neighborhood-level administrative district in South Korea, known by its McCune–Reischauer romanization of the Korean name Jangjeon-dong.
-
B.
Yeonji-dong
Yeonji-dong is a neighborhood (dong) located within Pusanjin District in Busan, South Korea.
-
C.
Munrae-dong
Munrae-dong is a neighborhood in Seoul, South Korea, known for its blend of old industrial workshops, emerging art spaces, and trendy cafes.
-
D.
Apkujŏng-dong
Apkujŏng-dong is a wealthy and fashionable neighborhood in Seoul’s Gangnam District, known for its upscale shopping, dining, and entertainment.
-
E.
Gyeonji-dong
chosen
Gyeonji-dong is a neighborhood in central Seoul, South Korea, known for its location within the historic Jongno 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847d7cb48190902169813c46a278 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.