Triple
T21622964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulgok-ro |
E533622
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Yulgok-ro 20-gil |
—
|
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: Yulgok-ro 20-gil | Statement: [Yulgok-ro, hasPart, Yulgok-ro 20-gil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yulgok-ro 20-gil Context triple: [Yulgok-ro, hasPart, Yulgok-ro 20-gil]
-
A.
Yulgok-ro
chosen
Yulgok-ro is a major thoroughfare in central Seoul, South Korea, known for running through historic districts and connecting key cultural and administrative areas of the city.
-
B.
Yureung
Yureung is a royal tomb from Korea’s Joseon Dynasty, notable as the burial site of Emperor Gojong and Empress Myeongseong and recognized as part of a UNESCO World Heritage complex.
-
C.
Galmunwang Ipjong
Galmunwang Ipjong was a Silla royal prince and high-ranking noble of the Korean Three Kingdoms period, known primarily as a son of King Jinheung.
-
D.
Yeongdodaegyo
Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
-
E.
Garosu-gil
Garosu-gil is a trendy, tree-lined street in Seoul known for its fashionable boutiques, cafes, and vibrant youth culture.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bb0c42c8190997fbeb7a764d60e |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.