Triple
T666898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article III (National Treatment on Internal Taxation and Regulation) |
E12883
|
entity |
| Predicate | notAppliesTo |
P7029
|
FINISHED |
| Object | border tariffs |
—
|
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: border tariffs | Statement: [Article III (National Treatment on Internal Taxation and Regulation), notAppliesTo, border tariffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notAppliesTo Context triple: [Article III (National Treatment on Internal Taxation and Regulation), notAppliesTo, border tariffs]
-
A.
doesNotGenerallyApplyTo
chosen
Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
-
B.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
C.
doesNotCover
Indicates that one entity fails to include, protect, or extend over another entity or area.
-
D.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
E.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ff7ca788190bef58ce46849b9d0 |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d18942c819083b3d1887e505900 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.