Triple
T12827441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan–United States relations |
E306690
|
entity |
| Predicate | disputeIssue |
P107087
|
FINISHED |
| Object | trade imbalances |
—
|
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: trade imbalances | Statement: [Japan–United States relations, disputeIssue, trade imbalances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disputeIssue Context triple: [Japan–United States relations, disputeIssue, trade imbalances]
-
A.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
B.
disputeOrigin
Indicates that there is disagreement or uncertainty about the source, cause, or initial point of something.
-
C.
originatingDispute
Indicates that one entity is the source, cause, or initial context of a particular dispute involving another entity.
-
D.
significantDispute
Indicates a serious, often prolonged disagreement or conflict exists between the involved entities.
-
E.
disputePolicy
Indicates that there is a formal disagreement or conflict regarding a policy, typically triggering procedures for review, negotiation, or resolution.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:33 p.m.