Triple
T21509888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China–North Korea relations |
E530686
|
entity |
| Predicate | covidPeriodEvent |
P58395
|
FINISHED |
| Object | North Korea’s border closure with 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: North Korea’s border closure with China | Statement: [China–North Korea relations, covidPeriodEvent, North Korea’s border closure with China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: covidPeriodEvent Context triple: [China–North Korea relations, covidPeriodEvent, North Korea’s border closure with China]
-
A.
associatedWithEpidemic
Indicates that something has a connection or relevance to an epidemic, such as being caused by, occurring during, or contributing to that epidemic.
-
B.
epidemicControlActivities
chosen
Indicates actions or measures undertaken to prevent, contain, or mitigate the spread and impact of an epidemic.
-
C.
timePeriodEvent
Indicates that an event occurs, is scheduled, or is valid within a specified time period.
-
D.
medicalEvent
Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
-
E.
occurredDuring
Indicates that one event or action took place within the temporal span of another event or time period.
- F. None of above.
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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.