Triple
T19709833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Now |
E473311
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | mytaxi |
—
|
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: mytaxi | Statement: [Free Now, foundedAs, mytaxi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mytaxi Context triple: [Free Now, foundedAs, mytaxi]
-
A.
mytaxi
chosen
mytaxi was a pioneering European ride-hailing and taxi-booking app that later rebranded as Free Now.
-
B.
GrabTaxi
GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
-
C.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
-
D.
Uber Pool
Uber Pool is a ride-sharing service from Uber that matches multiple passengers heading in similar directions to share a car and split the fare.
-
E.
Meru Cabs
Meru Cabs is an Indian radio taxi and ride-hailing company that was one of the country’s early organized cab service providers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64406f9808190acd74aa03c392eb0 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.