Triple
T19598783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 종묘 |
E470412
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | 수도권 |
—
|
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: 수도권 | Statement: [종묘, region, 수도권]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 수도권 Context triple: [종묘, region, 수도권]
-
A.
Seoul Capital Area
chosen
The Seoul Capital Area is South Korea’s largest metropolitan region, encompassing Seoul, Incheon, and surrounding Gyeonggi Province, and serving as the country’s political, economic, and cultural hub.
-
B.
central Seoul
Central Seoul is the bustling core area of South Korea’s capital city, encompassing major government, commercial, and cultural districts.
-
C.
Chūkyō metropolitan area
The Chūkyō metropolitan area is Japan’s third-largest urban and industrial region, centered on Nagoya and known as a major hub for automotive manufacturing and international trade.
-
D.
Saitama metropolitan area
The Saitama metropolitan area is a major urban and commuter region north of Tokyo, centered on Saitama City and integrated into the Greater Tokyo metropolitan zone.
-
E.
Gangnan urban area
Gangnan urban area is the main built-up district of Guigang, a prefecture-level city in the Guangxi Zhuang Autonomous Region of southern China.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.