Triple
T4411932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Canadians |
E94869
|
entity |
| Predicate | redressPackageIncluded |
P55474
|
FINISHED |
| Object | individual compensation payments |
—
|
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: individual compensation payments | Statement: [Japanese Canadians, redressPackageIncluded, individual compensation payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redressPackageIncluded Context triple: [Japanese Canadians, redressPackageIncluded, individual compensation payments]
-
A.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
B.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
C.
hasShip
Indicates that one entity possesses, owns, or is equipped with a ship.
-
D.
supportsPackageShipments
Indicates that one entity provides the capability or service needed to handle and transport package shipments for another entity.
-
E.
formerlyIncluded
Indicates that an entity was previously part of, contained in, or a member of another entity, but is no longer included.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:29 p.m.