Triple
T11651162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotwire |
E276905
|
entity |
| Predicate | discountMechanism |
P100188
|
FINISHED |
| Object | opaque supplier identity |
—
|
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: opaque supplier identity | Statement: [Hotwire, discountMechanism, opaque supplier identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discountMechanism Context triple: [Hotwire, discountMechanism, opaque supplier identity]
-
A.
discountRate
Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
-
B.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
C.
couponStructure
Indicates the way a coupon’s terms, benefits, and conditions are organized and applied within a transaction or offer.
-
D.
couponType
Indicates the specific category or kind of coupon associated with an offer or transaction.
-
E.
promotionConditions
Indicates the conditions or criteria that must be met for a promotion to occur between entities.
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.