Triple
T2156142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United First |
E47890
|
entity |
| Predicate | bookingCodeType |
P36308
|
FINISHED |
| Object | first-class fare bucket |
—
|
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: first-class fare bucket | Statement: [United First, bookingCodeType, first-class fare bucket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookingCodeType Context triple: [United First, bookingCodeType, first-class fare bucket]
-
A.
bookingOption
Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
-
B.
airlineBookingChannel
Indicates the method or platform through which an airline reservation is made or managed between a customer and the airline.
-
C.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
D.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
E.
hasIATAcode
Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe669c188190bb4c1c391ca848b0 |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.