Triple
T29255171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Car (first class) |
E741684
|
entity |
| Predicate | targetPassenger |
P15253
|
FINISHED |
| Object | air travelers seeking higher comfort |
—
|
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: air travelers seeking higher comfort | Statement: [Green Car (first class), targetPassenger, air travelers seeking higher comfort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPassenger Context triple: [Green Car (first class), targetPassenger, air travelers seeking higher comfort]
-
A.
passengers
Indicates that one entity is traveling in or being transported by another entity, typically as a non-operating occupant.
-
B.
isPassengerWith
Indicates that one entity is traveling together with another entity as a passenger in the same vehicle or conveyance.
-
C.
publicPassengerService
Indicates that an entity provides transportation services that are available to the general public for carrying passengers.
-
D.
hasPassengerRole
chosen
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
E.
secondaryPassengerProfile
Indicates that an entity serves as an additional or non-primary passenger associated with a main travel booking or passenger profile.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 28, 2026, 12:36 p.m.