Triple
T22472110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plymouth |
E555526
|
entity |
| Predicate | brandPositionWithinCompany |
P48676
|
FINISHED |
| Object | below Chrysler |
—
|
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: below Chrysler | Statement: [Plymouth, brandPositionWithinCompany, below Chrysler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandPositionWithinCompany Context triple: [Plymouth, brandPositionWithinCompany, below Chrysler]
-
A.
positionInBrandPortfolio
chosen
Indicates the relative role or rank that a brand holds within a company’s overall brand portfolio.
-
B.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
C.
rankWithinOrganization
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
D.
staffPosition
Indicates the specific role or job position that a staff member holds within an organization.
-
E.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be0d3c08190851537660cda619c |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.