Triple
T7462373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-List |
E176281
|
entity |
| Predicate | seatSelectionModel |
P9552
|
FINISHED |
| Object | open seating (no assigned seats) on Southwest Airlines |
—
|
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: open seating (no assigned seats) on Southwest Airlines | Statement: [A-List, seatSelectionModel, open seating (no assigned seats) on Southwest Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatSelectionModel Context triple: [A-List, seatSelectionModel, open seating (no assigned seats) on Southwest Airlines]
-
A.
seatSelectionPolicy
chosen
Indicates the rules or constraints governing how seats are chosen or assigned in a given context.
-
B.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
C.
chairSelection
Indicates that an entity is chosen or designated to serve in the role of chair (e.g., of a committee, meeting, or organization) from among a set of candidates or members.
-
D.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
E.
chairSelectedFrom
Indicates that a particular chair has been chosen from a larger set or collection of chairs.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:39 p.m.