Triple
T10413601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United MileagePlus Premier Gold |
E245456
|
entity |
| Predicate | loungeAccessBasis |
P66099
|
FINISHED |
| Object | Star Alliance Gold rules rather than United-only rules |
—
|
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: Star Alliance Gold rules rather than United-only rules | Statement: [United MileagePlus Premier Gold, loungeAccessBasis, Star Alliance Gold rules rather than United-only rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loungeAccessBasis Context triple: [United MileagePlus Premier Gold, loungeAccessBasis, Star Alliance Gold rules rather than United-only rules]
-
A.
hasLoungeType
Indicates that an entity is associated with, or classified by, a particular type or category of lounge.
-
B.
hasAmenityAccessTo
chosen
Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
-
C.
hasCustomerLounge
Indicates that an entity provides or includes a designated lounge area for customers to use.
-
D.
hasLoungeBrand
Indicates that an entity is associated with, or operates under, a particular lounge brand.
-
E.
typeOfAccess
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:10 p.m.