Triple
T23259353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banpo Bridge |
E581961
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Banpo Bridge |
—
|
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: Banpo Bridge | Statement: [Banpo Bridge, name, Banpo Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banpo Bridge Context triple: [Banpo Bridge, name, Banpo Bridge]
-
A.
Banpo Bridge
chosen
Banpo Bridge is a major double-deck bridge over the Han River in Seoul, South Korea, famous for its Moonlight Rainbow Fountain show.
-
B.
Wonhyo Bridge
Wonhyo Bridge is a major road bridge over the Han River in Seoul, South Korea, linking the Yeouido financial district with the southern part of the city.
-
C.
Namhang Bridge
Namhang Bridge is a major road bridge in Busan, South Korea, connecting Yeongdo Island with the mainland and serving as an important transportation and scenic landmark.
-
D.
Yeongjong Bridge
Yeongjong Bridge is a major South Korean cable-stayed bridge that links the mainland city of Incheon to Yeongjong Island, home to Incheon International Airport.
-
E.
Seogang Bridge
Seogang Bridge is a major road bridge in Seoul, South Korea, spanning the Han River and linking Yeouido Island with the northwestern part of the city.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c7ec148190b01fd215a0c1daa1 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.