Triple
T2248286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Alliance Silver |
E49556
|
entity |
| Predicate | numberOfEliteTiersInProgram |
P6578
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Star Alliance Silver, numberOfEliteTiersInProgram, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEliteTiersInProgram Context triple: [Star Alliance Silver, numberOfEliteTiersInProgram, 2]
-
A.
loyaltyProgramTierOf
Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
-
B.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
C.
topTierUntil
Indicates that an entity holds a top-tier or highest-status position only up to a specified point in time, after which this status no longer applies.
-
D.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
E.
numberOfRankedPeople
Indicates the total count of people who have been assigned a rank within a given context or system.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.