Triple
T7346681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GrabBike |
E169396
|
entity |
| Predicate | employmentModel |
P11918
|
FINISHED |
| Object | independent driver-partners |
—
|
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 driver-partners | Statement: [GrabBike, employmentModel, independent driver-partners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employmentModel Context triple: [GrabBike, employmentModel, independent driver-partners]
-
A.
employmentType
chosen
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
B.
employment
Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
-
C.
employmentContext
Indicates the situational or organizational setting in which an employment relationship or work activity takes place.
-
D.
employmentAction
Indicates an action or event that changes, initiates, or terminates an employment relationship between entities.
-
E.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.