Triple
T3899402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouigo |
E90447
|
entity |
| Predicate | seatAssignment |
P9552
|
FINISHED |
| Object | pre-assigned seats |
—
|
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: pre-assigned seats | Statement: [Ouigo, seatAssignment, pre-assigned seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatAssignment Context triple: [Ouigo, seatAssignment, pre-assigned seats]
-
A.
seatNotationSystem
Indicates the system or convention used to label, number, or otherwise denote seats within a venue or vehicle.
-
B.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
C.
seatSelectionPolicy
chosen
Indicates the rules or constraints governing how seats are chosen or assigned in a given context.
-
D.
seatAgreementWith
Indicates an arrangement or understanding by which one party provides or allocates seating to another under agreed terms.
-
E.
seatClass
Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.