Triple
T22229006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gukmun |
E549418
|
entity |
| Predicate | laterKnownAs |
P65
|
FINISHED |
| Object | Joseongeul |
—
|
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: Joseongeul | Statement: [Gukmun, laterKnownAs, Joseongeul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseongeul Context triple: [Gukmun, laterKnownAs, Joseongeul]
-
A.
Joseongeul
chosen
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
B.
Seoul Jihacheol I-ho-seon
Seoul Jihacheol I-ho-seon is the Korean romanized name for Line 2 of the Seoul Metropolitan Subway, a major circular subway line serving central and suburban areas of Seoul.
-
C.
Daejonggyo
Daejonggyo is a modern Korean ethnic religion that venerates the legendary founder Dangun as a divine ancestor and centers on Korean national identity and spiritual heritage.
-
D.
Jinjuseong
Jinjuseong is a historic fortress in Jinju, South Korea, renowned for its role in the Imjin War and its well-preserved traditional architecture.
-
E.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.