Triple
T16998744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InkJoy |
E412383
|
entity |
| Predicate | hasInkType |
P12870
|
FINISHED |
| Object | ballpoint ink |
—
|
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: ballpoint ink | Statement: [InkJoy, hasInkType, ballpoint ink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInkType Context triple: [InkJoy, hasInkType, ballpoint ink]
-
A.
haveInkColor
Indicates that an entity (such as a writing instrument or printer) possesses ink of a specified color.
-
B.
hasCartridgesOrPods
Indicates that an entity possesses or is associated with cartridges or pods used for its operation or function.
-
C.
hasImprintType
Indicates that an entity (such as a publication or product) is associated with a specific type or category of imprint.
-
D.
inkType
chosen
Indicates the specific kind or category of ink associated with or used by an entity.
-
E.
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.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37c16d081908ea5e25c992cb254 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.