Triple
T8141647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Medallion |
E190110
|
entity |
| Predicate | airlineAllianceContext |
P80902
|
FINISHED |
| Object | SkyTeam elite recognition on some benefits |
—
|
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: SkyTeam elite recognition on some benefits | Statement: [Silver Medallion, airlineAllianceContext, SkyTeam elite recognition on some benefits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineAllianceContext Context triple: [Silver Medallion, airlineAllianceContext, SkyTeam elite recognition on some benefits]
-
A.
airlineAllianceScope
Indicates the extent or coverage of an airline alliance’s operations or cooperation (e.g., regional vs. global).
-
B.
airlineAllianceRelationship
Indicates that two or more airlines are connected through a formal alliance or partnership arrangement.
-
C.
airlineAllianceMembership
Indicates that an airline is a member of a specific airline alliance.
-
D.
airlineAllianceStatus
Indicates the formal alliance membership or partnership status that exists between an airline and an airline alliance.
-
E.
servesAirlineAlliance
Indicates that an airline operates flights on behalf of, or under the branding of, a specific 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4442299881909db56f7475cbb99a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.