Triple
T26283930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France Flying Blue Explorer |
E661078
|
entity |
| Predicate | allMembersReceive |
P80161
|
FINISHED |
| Object | Flying Blue membership number |
—
|
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: Flying Blue membership number | Statement: [Air France Flying Blue Explorer, allMembersReceive, Flying Blue membership number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allMembersReceive Context triple: [Air France Flying Blue Explorer, allMembersReceive, Flying Blue membership number]
-
A.
allMembersAre
Indicates that every member of a specified group or set satisfies a given condition or belongs entirely to another specified group.
-
B.
eachMemberHas
chosen
Indicates that every individual element within a group or collection possesses or is associated with a specified property, attribute, or item.
-
C.
sentMembersTo
Indicates that one entity dispatched or assigned its members to another entity or location.
-
D.
confersToMembers
Indicates that something grants or bestows a benefit, right, or attribute to the members of a specified group.
-
E.
claimedMembers
Indicates that an entity asserts or reports that certain other entities are its members or belong to it.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e7593c881908faeda8a64f3e246 |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:02 p.m.