Triple
T9555949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBlue Plus Card |
E230539
|
entity |
| Predicate | chipTechnology |
P1482
|
FINISHED |
| Object | EMV chip |
—
|
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: EMV chip | Statement: [JetBlue Plus Card, chipTechnology, EMV chip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chipTechnology Context triple: [JetBlue Plus Card, chipTechnology, EMV chip]
-
A.
chipset
Indicates that one entity is the chipset (or is associated with the chipset) used by, contained in, or otherwise functionally related to another entity.
-
B.
chipsetComponent
Indicates that one entity is a hardware component that forms part of, or is integrated into, a particular chipset.
-
C.
technologyNode
Indicates a relationship where an entity is associated with, implemented in, or characterized by a specific technology node or process technology level.
-
D.
microarchitectureClass
Indicates that one entity is classified as a specific type or category of microarchitecture relative to another entity.
-
E.
technologyType
chosen
Indicates the specific kind or category of technology associated with an entity or relationship.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9927209c8190bbb494fc9003bc99 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.