Triple
T10413898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LOT Miles & More Senator |
E245464
|
entity |
| Predicate | providesRecognition |
P35290
|
FINISHED |
| Object | Star Alliance Gold recognition |
—
|
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 recognition | Statement: [LOT Miles & More Senator, providesRecognition, Star Alliance Gold recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesRecognition Context triple: [LOT Miles & More Senator, providesRecognition, Star Alliance Gold recognition]
-
A.
confersRecognition
Indicates that one entity formally acknowledges, honors, or grants recognition to another entity for some quality, status, or achievement.
-
B.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
C.
seeksRecognitionOf
Indicates that one entity actively pursues acknowledgment, validation, or formal recognition from another entity.
-
D.
grantsRecognitionTo
chosen
Indicates that one entity formally acknowledges, honors, or validates another entity’s achievements, status, or contributions.
-
E.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
- 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.