Triple
T6529396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asia–United States relations |
E152187
|
entity |
| Predicate | keyDimension |
P7153
|
FINISHED |
| Object | security cooperation |
—
|
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: security cooperation | Statement: [East Asia–United States relations, keyDimension, security cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDimension Context triple: [East Asia–United States relations, keyDimension, security cooperation]
-
A.
dimensionVariant
Indicates a relationship where one entity is a variant or alternative version of another with respect to certain dimensions or configurable attributes.
-
B.
dimensionCharacteristic
Indicates that one entity specifies or describes a dimensional property or measurement characteristic of another entity.
-
C.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
-
D.
dimension
Indicates that one entity specifies a measurable extent or size attribute (such as length, width, height, or similar quantitative property) of another entity.
-
E.
keyFeature
chosen
Indicates that something is a primary, distinguishing, or most important feature of an entity.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adaafbfc8190a3e3c75ea5958c67 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.