Triple
T4410821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung |
E94848
|
entity |
| Predicate | isUsedInCountry |
P715
|
FINISHED |
| Object | North Korea |
E7545
|
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: North Korea | Statement: [Jung, isUsedInCountry, North Korea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Korea Context triple: [Jung, isUsedInCountry, North Korea]
-
A.
North Korea
chosen
North Korea is an isolated, authoritarian state in East Asia known for its dynastic leadership, nuclear weapons program, and tense relations with much of the international community.
-
B.
Corea
Corea is the surname of the influential American jazz pianist and composer Chick Corea.
-
C.
Kore
Kore is an alternate name for Persephone, the Greek goddess associated with spring’s growth and the queen of the underworld.
-
D.
South Korea
South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
-
E.
Air Koryo
Air Koryo is the state-owned national airline of North Korea, known for its Soviet-era fleet and limited international operations.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6509a86a081908435094d0e80e9f4 |
completed | March 15, 2026, 6:24 a.m. |
Created at: March 12, 2026, 11:29 p.m.