Triple
T27513294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Airlines Mileage Plan |
E694476
|
entity |
| Predicate | awardPricingType |
P61954
|
FINISHED |
| Object | region-based award charts (for many partners) |
—
|
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: region-based award charts (for many partners) | Statement: [Alaska Airlines Mileage Plan, awardPricingType, region-based award charts (for many partners)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardPricingType Context triple: [Alaska Airlines Mileage Plan, awardPricingType, region-based award charts (for many partners)]
-
A.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
C.
appliesToAwardType
chosen
Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
-
D.
priceType
Indicates the classification or category of a price associated with an entity (e.g., list price, sale price, wholesale price).
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 1:17 p.m.