Triple
T18982321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGO |
E464458
|
entity |
| Predicate | airlineFrequentFlyerProgram |
P13481
|
FINISHED |
| Object | 6E Rewards |
—
|
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: 6E Rewards | Statement: [IGO, airlineFrequentFlyerProgram, 6E Rewards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 6E Rewards Context triple: [IGO, airlineFrequentFlyerProgram, 6E Rewards]
-
A.
6E Rewards
chosen
6E Rewards is IndiGo airline’s customer loyalty program that lets frequent flyers earn and redeem points for flights and related travel benefits.
-
B.
Rewards4All
Rewards4All was Flybe’s frequent-flyer loyalty program that allowed passengers to earn and redeem points for flights and related travel benefits.
-
C.
EuroBonus
EuroBonus is the loyalty program of Scandinavian Airlines (SAS), offering members points, status levels, and travel-related rewards across flights and partner services.
-
D.
Virgin Points
Virgin Points are the loyalty currency used across Virgin’s rewards programs, redeemable for flights, upgrades, and other member benefits.
-
E.
Perks Rewards
Perks Rewards is a membership tier offered by BJ's Wholesale Club that provides members with enhanced benefits and savings on their purchases.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.