Triple
T3739534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DoorDash |
E79664
|
entity |
| Predicate | usesLaborModel |
P3027
|
FINISHED |
| Object | independent contractor couriers |
—
|
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: independent contractor couriers | Statement: [DoorDash, usesLaborModel, independent contractor couriers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLaborModel Context triple: [DoorDash, usesLaborModel, independent contractor couriers]
-
A.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
-
B.
laborSystem
chosen
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
C.
laborContext
Indicates the labor-related circumstances, conditions, or setting within which an action, relationship, or event takes place.
-
D.
hasLaborRepresentation
Indicates that an entity is represented by a labor organization, such as a union or workers’ council, in employment-related matters.
-
E.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.