Triple
T6607715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnam–US Bilateral Trade Agreement |
E149158
|
entity |
| Predicate | impactOnUnitedStates |
P35155
|
FINISHED |
| Object | expanded export opportunities for U.S. companies in Vietnam |
—
|
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: expanded export opportunities for U.S. companies in Vietnam | Statement: [Vietnam–US Bilateral Trade Agreement, impactOnUnitedStates, expanded export opportunities for U.S. companies in Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnUnitedStates Context triple: [Vietnam–US Bilateral Trade Agreement, impactOnUnitedStates, expanded export opportunities for U.S. companies in Vietnam]
-
A.
effectOnUnitedStates
chosen
Indicates the impact, influence, or consequences that something has on the United States.
-
B.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
C.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
D.
UnitedStatesViewsAs
Indicates that the United States regards or considers a given entity in a particular way, role, or status.
-
E.
affectedU.S.State
Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.