Triple
T35676644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Airlines AAdvantage Executive Platinum |
E1030877
|
entity |
| Predicate | oneworldStatusEquivalent |
P183610
|
FINISHED |
| Object | Oneworld Emerald |
—
|
NE NERFINISHED |
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: Oneworld Emerald | Statement: [American Airlines AAdvantage Executive Platinum, oneworldStatusEquivalent, Oneworld Emerald]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneworldStatusEquivalent Context triple: [American Airlines AAdvantage Executive Platinum, oneworldStatusEquivalent, Oneworld Emerald]
-
A.
starAllianceStatus
Indicates the relationship between an entity and its membership or tier level within the Star Alliance frequent-flyer status program.
-
B.
airlineAllianceStatus
Indicates the formal alliance membership or partnership status that exists between an airline and an airline alliance.
-
C.
airlineAllianceMembership
Indicates that an airline is a member of a specific airline alliance.
-
D.
airlineAllianceScope
Indicates the extent or coverage of an airline alliance’s operations or cooperation (e.g., regional vs. global).
-
E.
airlineAllianceRole
Indicates the specific role or function an airline holds within an airline alliance.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:05 p.m.