Triple
T22143834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songpa District |
E547233
|
entity |
| Predicate | hasNotableNeighborhood |
P4813
|
FINISHED |
| Object | Jamsil |
—
|
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: Jamsil | Statement: [Songpa District, hasNotableNeighborhood, Jamsil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamsil Context triple: [Songpa District, hasNotableNeighborhood, Jamsil]
-
A.
Jamsil
chosen
Jamsil is a neighborhood in southeastern Seoul, South Korea, known for its major sports complexes, large residential areas, and entertainment facilities such as Lotte World.
-
B.
Myeong-bok
Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
-
C.
Cheongtae
Cheongtae was an era name used during the reign of Taejo, the founding king of Korea’s Goryeo dynasty.
-
D.
Sungneung
Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
-
E.
Anyangcheon
Anyangcheon is a river in South Korea that flows through the city of Anyang and serves as an important local waterway and recreational area.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.