Triple
T1543472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Business Select |
E32922
|
entity |
| Predicate | fareCodeCategory |
P9545
|
FINISHED |
| Object | Y/B/M full or near‑full economy fare bucket depending on route |
—
|
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: Y/B/M full or near‑full economy fare bucket depending on route | Statement: [Business Select, fareCodeCategory, Y/B/M full or near‑full economy fare bucket depending on route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareCodeCategory Context triple: [Business Select, fareCodeCategory, Y/B/M full or near‑full economy fare bucket depending on route]
-
A.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
B.
fareBasis
chosen
Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
-
C.
fareType
Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
-
D.
fareProduct
Indicates a relationship where a specific fare or price offering is associated with a particular product or service option.
-
E.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.