Triple
T32919790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold War triangular diplomacy |
E842111
|
entity |
| Predicate | ChineseStrategy |
P175862
|
FINISHED |
| Object | engage the United States to balance against the Soviet Union |
—
|
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: engage the United States to balance against the Soviet Union | Statement: [Cold War triangular diplomacy, ChineseStrategy, engage the United States to balance against the Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChineseStrategy Context triple: [Cold War triangular diplomacy, ChineseStrategy, engage the United States to balance against the Soviet Union]
-
A.
ChineseObjective
Indicates that an entity has an objective, goal, or target specifically related to China or the Chinese context.
-
B.
ChineseOperation
Indicates an operation or activity carried out by a Chinese entity or within a Chinese context.
-
C.
ChinaRole
Indicates that an entity has a specific role, function, or position in relation to China.
-
D.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
E.
ChinaPosition
Indicates the stance, policy, or viewpoint officially held or expressed by China regarding a particular issue, event, or entity.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:19 a.m.