Triple
T4421661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TO |
E95110
|
entity |
| Predicate | airlinePricingModel |
P55882
|
FINISHED |
| Object | no-frills, add-on services |
—
|
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, add-on services | Statement: [TO, airlinePricingModel, no-frills, add-on services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlinePricingModel Context triple: [TO, airlinePricingModel, no-frills, add-on services]
-
A.
airlineMarket
Indicates a commercial air transport relationship where an airline provides or operates flight services within a specific origin–destination market or route.
-
B.
airlineBookingChannel
Indicates the method or platform through which an airline reservation is made or managed between a customer and the airline.
-
C.
fareProduct
Indicates a relationship where a specific fare or price offering is associated with a particular product or service option.
-
D.
airlineScale
Indicates that one airline is a subsidiary, regional brand, or otherwise operates at a smaller or supporting scale relative to another airline.
-
E.
lowCostTerminal
Indicates that the terminal operates or is provided at a relatively low financial cost compared to alternatives.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554a0e7c8190b704d00d07b1857d |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.