Triple
T7346431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MyTeksi |
E169391
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | MyTeksi app |
E169391
|
NE 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: MyTeksi app | Statement: [MyTeksi, alternativeName, MyTeksi app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MyTeksi app Context triple: [MyTeksi, alternativeName, MyTeksi app]
-
A.
MyTeksi
chosen
MyTeksi is the original Malaysian taxi-booking app that later evolved into Grab, one of Southeast Asia’s leading ride-hailing and super-app platforms.
-
B.
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.
-
C.
Metro Call-A-Ride
Metro Call-A-Ride is a paratransit service providing door-to-door transportation for riders with disabilities and mobility challenges in the St. Louis metropolitan area.
-
D.
Careem
Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa916ac881909acee8184b71dc85 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.