Triple
T21509863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China–North Korea relations |
E530686
|
entity |
| Predicate | chinaRoleInSixPartyTalks |
P110856
|
FINISHED |
| Object | host |
—
|
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: host | Statement: [China–North Korea relations, chinaRoleInSixPartyTalks, host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chinaRoleInSixPartyTalks Context triple: [China–North Korea relations, chinaRoleInSixPartyTalks, host]
-
A.
ChinaParticipation
chosen
Indicates that China takes part in, contributes to, or is involved in a specified event, activity, or arrangement.
-
B.
formerUNSeatHolderForChina
Indicates that the subject previously held China’s seat in the United Nations before the current recognized representative.
-
C.
roleInCaptureOfBeijing
Indicates the role or involvement an entity had in the capture of Beijing.
-
D.
positionOnCrossStraitRelations
Indicates a stance or viewpoint an entity holds regarding political, economic, or diplomatic relations between the two sides of the Taiwan Strait.
-
E.
isPartOfCrossStraitRelations
Indicates that something belongs to, affects, or is involved in the political, economic, social, or cultural interactions and dynamics between the two sides of the Taiwan Strait.
- 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.