Triple
T18104262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFG |
E433307
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ulchi Mun-dok |
—
|
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: Ulchi Mun-dok | Statement: [UFG, namedAfter, Ulchi Mun-dok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulchi Mun-dok Context triple: [UFG, namedAfter, Ulchi Mun-dok]
-
A.
Ulchi Mundeok
chosen
Ulchi Mundeok was a renowned Goguryeo general celebrated for his strategic brilliance in defeating invading Sui forces in early 7th-century Korea.
-
B.
Yong-il
Yong-il is a Korean masculine given name that can be shared by various individuals, including notable figures such as politicians and public officials.
-
C.
Hyesan
Hyesan is a major city in northern North Korea, located on the border with China along the Yalu River and serving as an important regional administrative and transport hub.
-
D.
Pil-dong
Pil-dong is a neighborhood in central Seoul, South Korea, known for its mix of traditional sites, educational institutions, and urban residential areas.
-
E.
Taegwan
Taegwan is a town and county-level city in North Pyongan Province in northwestern North Korea.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb8dd308190a9c98ac2b1d8b872 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.