Triple
T33319865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Business |
E853108
|
entity |
| Predicate | typicalCabinType |
P85721
|
FINISHED |
| Object | business class |
—
|
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: business class | Statement: [United Business, typicalCabinType, business class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCabinType Context triple: [United Business, typicalCabinType, business class]
-
A.
cabinTypes
chosen
Indicates the types or categories of cabins associated with an entity, such as the different classes or configurations available.
-
B.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
C.
cabinFeatures
Indicates that a cabin possesses or includes specific features, amenities, or characteristics.
-
D.
cabinLengthCategory
Indicates the classification of an entity based on the length of its cabin into predefined size categories.
-
E.
cabinWidth
Indicates the measurement of how wide a cabin is across its interior.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:33 a.m.