Triple
T25767609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motors Liquidation Company |
E648925
|
entity |
| Predicate | reorganizationPlanSponsor |
P159244
|
FINISHED |
| Object | Government of Canada |
—
|
NE NERFINISHED |
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: Government of Canada | Statement: [Motors Liquidation Company, reorganizationPlanSponsor, Government of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reorganizationPlanSponsor Context triple: [Motors Liquidation Company, reorganizationPlanSponsor, Government of Canada]
-
A.
reorganizationPlanSponsor
chosen
Indicates that an entity serves as the sponsor or initiating party responsible for a reorganization plan.
-
B.
sponsoringAgency
Indicates that one entity serves as the sponsoring agency that provides support, backing, or authorization for another entity or activity.
-
C.
formerSponsor
Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
-
D.
sponsorParentCompany
Indicates that a parent company provides sponsorship or support to another entity, typically through funding or resources.
-
E.
previousSponsor
Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf52c2c8190b2354e611031e929 |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 5:12 a.m.