Triple
T6597299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeongdeungpo District |
E148508
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yeongdeungpo-dong |
E653746
|
NE FINISHED |
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: Yeongdeungpo-dong | Statement: [Yeongdeungpo District, contains, Yeongdeungpo-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeongdeungpo-dong Context triple: [Yeongdeungpo District, contains, Yeongdeungpo-dong]
-
A.
Yeongdeungpo-dong
chosen
Yeongdeungpo-dong is a central neighborhood in Seoul, South Korea, known as the administrative and commercial core of Yeongdeungpo District.
-
B.
Suyeong-dong
Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong District.
-
C.
Yeonsan-dong
Yeonsan-dong is a neighborhood-level administrative area within Yeonje District in Busan, South Korea, known for its residential zones and local commercial facilities.
-
D.
Daechi-dong
Daechi-dong is a wealthy neighborhood in Seoul renowned for its dense concentration of private academies and highly competitive educational culture.
-
E.
Deokpo-dong
Deokpo-dong is a neighborhood (dong) located within Sasang District in the city of Busan, South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81e9cc3b88190a96ced453be3691e |
completed | March 28, 2026, 6:31 p.m. |
Created at: March 27, 2026, 1:56 p.m.