Triple
T23721865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China and North Korea |
E586165
|
entity |
| Predicate | politicalExchanges |
P38190
|
FINISHED |
| Object | high-level party-to-party contacts |
—
|
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: high-level party-to-party contacts | Statement: [China and North Korea, politicalExchanges, high-level party-to-party contacts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalExchanges Context triple: [China and North Korea, politicalExchanges, high-level party-to-party contacts]
-
A.
broadcastsDebates
Indicates that one entity transmits or airs debates for an audience, typically via a communication medium such as television, radio, or online platforms.
-
B.
politicalEvent
Indicates an occurrence related to political processes, activities, or changes involving governance, power, or public policy.
-
C.
diplomaticArena
Indicates a context or setting in which diplomatic interactions, negotiations, or relations between entities take place.
-
D.
hasPoliticalDialogue
chosen
Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
-
E.
publicDiplomacyActivities
Indicates activities undertaken by a state or organization to influence and engage foreign publics and shape their perceptions, attitudes, or understanding.
- 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_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. |
Created at: April 17, 2026, 7:04 p.m.