Triple
T5690757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sejong the Great |
E125421
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Hunminjeongeum |
E125423
|
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: Hunminjeongeum | Statement: [Sejong the Great, created, Hunminjeongeum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunminjeongeum Context triple: [Sejong the Great, created, Hunminjeongeum]
-
A.
Hunminjeongeum
chosen
Hunminjeongeum is the 15th-century Korean document promulgated by King Sejong that introduced and explained the newly created Korean alphabet, now known as Hangul.
-
B.
Koryo-saram
Koryo-saram are ethnic Koreans primarily descended from migrants to the Russian Empire and Soviet Union, now living across Central Asia and the former Soviet states with a distinct cultural and historical identity.
-
C.
Goryeo tongbo
Goryeo tongbo was a bronze coinage introduced in the Korean Goryeo dynasty as one of its earliest standardized forms of money.
-
D.
Hanja
Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
-
E.
Hangul
Hangul is the native alphabetic writing system of the Korean language, renowned for its scientific design and ease of learning.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e340a08190b6175fad3e9a32b6 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4baea481908b4766888fd3edf1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.