Triple
T35561519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3K |
E1027646
|
entity |
| Predicate | airlineFareStructure |
P55882
|
FINISHED |
| Object | no-frills |
—
|
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: no-frills | Statement: [3K, airlineFareStructure, no-frills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineFareStructure Context triple: [3K, airlineFareStructure, no-frills]
-
A.
airlinePricingModel
chosen
Indicates the pricing strategy or structure an airline uses to determine fares for its flights.
-
B.
fareStructure
Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
-
C.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
-
D.
hasCurrencyOfFares
Indicates the currency in which fares or prices for transportation or services are denominated.
-
E.
fareProductType
Indicates the specific category or type of fare product associated with a ticket, booking, or travel transaction.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.