Triple
T10269619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Economy Plus |
E240799
|
entity |
| Predicate | typicalSeatPitchIncrease |
P9050
|
FINISHED |
| Object | several inches more than standard economy |
—
|
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: several inches more than standard economy | Statement: [United Economy Plus, typicalSeatPitchIncrease, several inches more than standard economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSeatPitchIncrease Context triple: [United Economy Plus, typicalSeatPitchIncrease, several inches more than standard economy]
-
A.
seatPitch
chosen
Indicates the distance between a seat and the seat directly in front of it, typically measuring legroom or spacing in a seating arrangement.
-
B.
typicalSeat
Indicates the usual or standard seating position or location associated with an entity in a given context.
-
C.
seatsPerRow
Indicates the number of seats that are arranged in each row within a seating layout or configuration.
-
D.
seatRecline
Indicates that one entity adjusts or is capable of adjusting the backward tilt or reclining position of a seat relative to another entity or context.
-
E.
hasLongitudinalSeating
Indicates that an entity features seating arranged lengthwise along its sides rather than across its width.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:35 a.m.