Triple
T25849157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor Assembly Plant |
E651151
|
entity |
| Predicate | hasCorporatePredecessor |
P37738
|
FINISHED |
| Object | Chrysler 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: Chrysler Canada | Statement: [Windsor Assembly Plant, hasCorporatePredecessor, Chrysler Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorporatePredecessor Context triple: [Windsor Assembly Plant, hasCorporatePredecessor, Chrysler Canada]
-
A.
hasCorporateSuccessor
Indicates that one corporate entity is the legal successor to another, inheriting its rights, obligations, or continuity of business.
-
B.
predecessorCompany
Indicates that one company previously existed in a role or form that was succeeded or replaced by another company.
-
C.
isCorporatePrecursorOf
chosen
Indicates that one corporate entity is a predecessor in the organizational or legal lineage of another corporate entity, such as through merger, acquisition, or reorganization.
-
D.
underlyingCompanyPredecessor
Indicates that one company served as a predecessor entity to another company in an underlying or foundational corporate relationship.
-
E.
employerPredecessorName
Indicates that the referenced name identifies a previous employer of the entity in question.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 22, 2026, 7:58 a.m.