Triple
T23721850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China and North Korea |
E586165
|
entity |
| Predicate | NorthKoreaDependence |
P153702
|
FINISHED |
| Object | economic dependence on China |
—
|
LITERAL 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: economic dependence on China | Statement: [China and North Korea, NorthKoreaDependence, economic dependence on China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NorthKoreaDependence Context triple: [China and North Korea, NorthKoreaDependence, economic dependence on China]
-
A.
NorthKoreaObservedOn
Indicates that North Korea conducted surveillance, monitoring, or observation of a specified target at a particular time or context.
-
B.
describedByNorthKoreaAs
Indicates how something or someone is characterized or labeled in descriptions or statements made by North Korea.
-
C.
NorthKoreanCharacterization
Indicates how something or someone is portrayed, described, or framed specifically in relation to North Korea or North Korean attributes.
-
D.
chinaViewOfNorthKorea
Indicates China's perspective, attitude, or policy stance toward North Korea.
-
E.
borderTypeWithNorthKorea
Indicates the type or nature of the border that an entity shares with North Korea.
- F. None of above. chosen
Provenance (4 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:02 p.m.