Triple
T6894402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skytrax |
E159133
|
entity |
| Predicate | hasEvaluationScale |
P16725
|
FINISHED |
| Object | 5-star airline rating |
—
|
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: 5-star airline rating | Statement: [Skytrax, hasEvaluationScale, 5-star airline rating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEvaluationScale Context triple: [Skytrax, hasEvaluationScale, 5-star airline rating]
-
A.
scoreScale
chosen
Indicates the scale or range on which a score or rating is expressed or measured.
-
B.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
-
C.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
D.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
E.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d931da24819096b9b205f2c0ebb0 |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.