Triple
T19768554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COEX Mall |
E474820
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Gangnam |
—
|
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: Gangnam | Statement: [COEX Mall, district, Gangnam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangnam Context triple: [COEX Mall, district, Gangnam]
-
A.
Gangnam
chosen
Gangnam is a wealthy, fashionable district in Seoul, South Korea, known for its upscale shopping, nightlife, and global fame from the song "Gangnam Style."
-
B.
Gangnam Station
Gangnam Station is a major subway and commercial hub in Seoul, South Korea, known for its heavy foot traffic, shopping, nightlife, and association with the global "Gangnam Style" phenomenon.
-
C.
Gangdong-dong
Gangdong-dong is a neighborhood in Busan, South Korea, serving as the central administrative hub of the city's Gangseo District.
-
D.
Seoul Special City
Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
-
E.
Banggae
Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.