Triple
T3300567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy Class |
E69319
|
entity |
| Predicate | baggageAllowanceComparedToPremiumCabins |
P47856
|
FINISHED |
| Object | often lower |
—
|
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: often lower | Statement: [Economy Class, baggageAllowanceComparedToPremiumCabins, often lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baggageAllowanceComparedToPremiumCabins Context triple: [Economy Class, baggageAllowanceComparedToPremiumCabins, often lower]
-
A.
baggagePolicyType
Indicates the specific category or type of baggage policy that applies in a given travel or transportation context.
-
B.
hasBaggageService
Indicates that an entity provides or supports services related to handling, storing, or managing baggage for others.
-
C.
hasCabinClass
Indicates that an entity (such as a booking, ticket, or seat) is associated with a specific cabin class (e.g., economy, business, first).
-
D.
serviceLevelComparedToEconomy
Indicates how the level or quality of service compares relative to an economy (baseline) service level.
-
E.
hasBaggageClaim
Indicates that a location, typically a transportation hub, includes or provides a baggage claim area for retrieving luggage.
- F. None of above. chosen
Provenance (4 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.