Triple
T10413717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Airlines Miles&Smiles Elite |
E245459
|
entity |
| Predicate | tierRequalificationMetric |
P12363
|
FINISHED |
| Object | status miles |
—
|
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: status miles | Statement: [Turkish Airlines Miles&Smiles Elite, tierRequalificationMetric, status miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierRequalificationMetric Context triple: [Turkish Airlines Miles&Smiles Elite, tierRequalificationMetric, status miles]
-
A.
statusQualificationMetric
chosen
Indicates a metric that qualifies, evaluates, or characterizes the status or condition of something in a measurable way.
-
B.
secondaryMetric
Indicates that one metric serves as an additional, supporting measure used alongside a primary metric for evaluation or analysis.
-
C.
primaryMetric
Indicates the main quantitative measure used to evaluate the performance, success, or impact of an entity or process relative to its goals.
-
D.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
E.
selectionMetric
Indicates the criterion or measure used to evaluate and choose among alternative options or candidates.
- 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.