Triple
T10739586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airpoints |
E253285
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Airpoints Dollars |
E253285
|
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: Airpoints Dollars | Statement: [Airpoints, currency, Airpoints Dollars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airpoints Dollars Context triple: [Airpoints, currency, Airpoints Dollars]
-
A.
Airpoints
chosen
Airpoints is Air New Zealand’s loyalty program that allows members to earn and redeem points on flights and partner services.
-
B.
Caesars Rewards
Caesars Rewards is a customer loyalty program offering tiered benefits, comps, and exclusive perks to patrons of Caesars Entertainment casinos, hotels, and resorts.
-
C.
Wynn Rewards
Wynn Rewards is the customer loyalty program of Wynn Macau, offering members tiered benefits, exclusive offers, and rewards for gaming and resort spending.
-
D.
BreezePoints
BreezePoints is the loyalty rewards program of Breeze Airways, allowing passengers to earn and redeem points for flights and related travel benefits.
-
E.
Avios
Avios is a travel rewards currency used by several major airlines and loyalty programs, allowing members to 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71043106c819091939950f532eda5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:14 p.m.