Triple
T3552772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KLM Cityhopper |
E75146
|
entity |
| Predicate | aircraftCabinClass |
P3037
|
FINISHED |
| Object | Economy Class |
—
|
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: Economy Class | Statement: [KLM Cityhopper, aircraftCabinClass, Economy Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftCabinClass Context triple: [KLM Cityhopper, aircraftCabinClass, Economy Class]
-
A.
hasCabinClass
chosen
Indicates that an entity (such as a booking, ticket, or seat) is associated with a specific cabin class (e.g., economy, business, first).
-
B.
baggageAllowanceComparedToPremiumCabins
Indicates how a passenger’s baggage allowance compares in quantity or weight to that granted in premium cabin classes.
-
C.
classesOfSeats
Indicates the different categories or types of seats associated with something, such as a venue, vehicle, or event.
-
D.
ticketClass
Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
-
E.
offersEconomyClass
Indicates that an entity provides or makes available an economy-class option within its services or offerings.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05394888190b59fafda97b49beb |
completed | March 8, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.