Triple
T33653689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia Airlines Miles & More Frequent Traveller |
E862164
|
entity |
| Predicate | statusTierName |
P37057
|
FINISHED |
| Object | Frequent Traveller |
—
|
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: Frequent Traveller | Statement: [Croatia Airlines Miles & More Frequent Traveller, statusTierName, Frequent Traveller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusTierName Context triple: [Croatia Airlines Miles & More Frequent Traveller, statusTierName, Frequent Traveller]
-
A.
statusLevelBasedOn
Indicates that one entity’s status level is determined or derived from another specified factor or entity.
-
B.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
C.
rankTier
chosen
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
D.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
-
E.
designationLevelComparedTo
Indicates how the designation level of one entity compares to the designation level of another entity (e.g., higher, lower, or equal).
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 1, 2026, 1:42 a.m.