Triple
T17334010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Cabin Extra |
E420887
|
entity |
| Predicate | travelClassHierarchy |
P93035
|
FINISHED |
| Object | below Premium Economy |
—
|
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: below Premium Economy | Statement: [Main Cabin Extra, travelClassHierarchy, below Premium Economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelClassHierarchy Context triple: [Main Cabin Extra, travelClassHierarchy, below Premium Economy]
-
A.
cabinClassHierarchy
chosen
Indicates a hierarchical relationship between cabin classes, where one cabin class is ranked above or below another in terms of priority, service level, or status.
-
B.
travelClassRelevance
Indicates the degree to which a particular travel class (e.g., economy, business) is pertinent or applicable within a given travel context or scenario.
-
C.
offersClassOfTravel
Indicates that a service provider makes a particular class or tier of travel (e.g., economy, business, first) available as an option.
-
D.
hotelClass
Indicates the classification or rating level assigned to a hotel, such as its star category or quality tier.
-
E.
trainCategory
Indicates the classification or type of a train within a railway system (e.g., express, regional, freight).
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.