Triple
T7346620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GrabMart |
E169395
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | GrabRewards |
E659398
|
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: GrabRewards | Statement: [GrabMart, integratedWith, GrabRewards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GrabRewards Context triple: [GrabMart, integratedWith, GrabRewards]
-
A.
GrabRewards
chosen
GrabRewards is Grab’s loyalty program that lets users earn and redeem points for discounts, services, and partner offers across the Grab ecosystem.
-
B.
myRewards
myRewards is the customer loyalty program of Pilot Flying J truck stops and travel centers, offering members points, discounts, and other perks on fuel, food, and in-store purchases.
-
C.
Rewards4All
Rewards4All was Flybe’s frequent-flyer loyalty program that allowed passengers to earn and redeem points for flights and related travel benefits.
-
D.
Total Rewards
Total Rewards was the long-running customer loyalty program of Caesars Entertainment’s casinos and resorts, offering members tiered benefits, comps, and exclusive perks before being rebranded as Caesars Rewards.
-
E.
6E Rewards
6E Rewards is IndiGo airline’s customer loyalty program that lets frequent flyers earn and redeem points for flights and related travel benefits.
- 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_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.