Triple
T18107033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Taxi Corporation |
E433370
|
entity |
| Predicate | hasMobileAppIntegration |
P14571
|
FINISHED |
| Object | Hala e-hailing via Careem app |
—
|
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: Hala e-hailing via Careem app | Statement: [Dubai Taxi Corporation, hasMobileAppIntegration, Hala e-hailing via Careem app]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMobileAppIntegration Context triple: [Dubai Taxi Corporation, hasMobileAppIntegration, Hala e-hailing via Careem app]
-
A.
hasApp
chosen
Indicates that an entity possesses, provides, or is associated with a particular application.
-
B.
hasSocialNetworkingIntegration
Indicates that an entity is connected to or supports interaction with one or more social networking platforms.
-
C.
hasMobileOrder
Indicates that an entity has placed or is associated with a mobile-based order.
-
D.
hasModeIntegration
Indicates that one entity is integrated with, or supports integration of, a particular mode, method, or modality of operation.
-
E.
supportsMobileWallets
Indicates that an entity provides the capability to make or accept payments through mobile wallet services.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbb3d408190b5fc7870bc6512f4 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.