Triple
T7312395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfursan Loyalty Program |
E168123
|
entity |
| Predicate | tierCriterion |
P136
|
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: [Alfursan Loyalty Program, tierCriterion, status miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierCriterion Context triple: [Alfursan Loyalty Program, tierCriterion, status miles]
-
A.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
B.
listingCriterion
Indicates the rule or standard used to determine how items are selected, ordered, or displayed in a listing.
-
C.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
D.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
-
E.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec00fef081909cb9768a70cabd80 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:02 p.m.