Triple
T11731111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NJOY |
E278897
|
entity |
| Predicate | hasCartridgesOrPods |
P101038
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NJOY, hasCartridgesOrPods, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCartridgesOrPods Context triple: [NJOY, hasCartridgesOrPods, yes]
-
A.
requiresCartridgeSlotOf
Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
-
B.
featuresCartouchesOf
Indicates that something (such as an artifact, monument, or object) bears or includes cartouches that contain the names or titles of specific individuals or entities.
-
C.
haveInkColor
Indicates that an entity (such as a writing instrument or printer) possesses ink of a specified color.
-
D.
cartridge
Indicates that one entity is a cartridge associated with, contained in, or used by another entity.
-
E.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
- F. None of above. chosen
Provenance (4 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d94de08190a7184cf26d8cb94e |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.