Triple
T7365907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France Flying Blue Platinum |
E169867
|
entity |
| Predicate | cardIssued |
P70880
|
FINISHED |
| Object | physical membership card |
—
|
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: physical membership card | Statement: [Air France Flying Blue Platinum, cardIssued, physical membership card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardIssued Context triple: [Air France Flying Blue Platinum, cardIssued, physical membership card]
-
A.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
B.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
C.
yearOfIssue
Indicates the specific calendar year in which something (such as a document, publication, or item) was formally issued or released.
-
D.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
E.
isIssued
chosen
Indicates that an authoritative source formally provides, distributes, or makes something (such as a document, order, or item) officially available to a recipient.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.