Triple
T10155381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flynas |
E232761
|
entity |
| Predicate | offersBookingChannel |
P30179
|
FINISHED |
| Object | online booking via website |
—
|
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: online booking via website | Statement: [Flynas, offersBookingChannel, online booking via website]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersBookingChannel Context triple: [Flynas, offersBookingChannel, online booking via website]
-
A.
hasBookingChannel
Indicates that an entity is associated with or obtained through a particular method or platform used to make a booking.
-
B.
offersDestination
Indicates that one entity provides or makes available another entity as a possible destination.
-
C.
airlineBookingChannel
chosen
Indicates the method or platform through which an airline reservation is made or managed between a customer and the airline.
-
D.
alsoBookableAs
Indicates that one entity can be reserved or booked in an alternative way or under an alternative option represented by another entity.
-
E.
bookingOption
Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.