Triple
T1854990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S7 Airlines |
E41680
|
entity |
| Predicate | usesBookingSystemType |
P31089
|
FINISHED |
| Object | online booking |
—
|
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 | Statement: [S7 Airlines, usesBookingSystemType, online booking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBookingSystemType Context triple: [S7 Airlines, usesBookingSystemType, online booking]
-
A.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
-
B.
hasBookingChannel
chosen
Indicates that an entity is associated with or obtained through a particular method or platform used to make a booking.
-
C.
modernReservation
Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
-
D.
mainReservation
Indicates that one reservation is designated as the primary or central booking associated with a person, account, or set of related reservations.
-
E.
bookingRequirement
Indicates that a particular condition, rule, or prerequisite must be satisfied in order to make or confirm a booking.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.