Triple
T35707632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin P |
E1031760
|
entity |
| Predicate | graphicalType |
P28918
|
FINISHED |
| Object | simple vertical and curved strokes |
—
|
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: simple vertical and curved strokes | Statement: [Latin P, graphicalType, simple vertical and curved strokes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicalType Context triple: [Latin P, graphicalType, simple vertical and curved strokes]
-
A.
graphicsType
chosen
Indicates the type or category of graphics associated with or used by an entity.
-
B.
chartType
Indicates the specific kind or category of chart used to visually represent data in a given context.
-
C.
typeOfChart
Indicates the specific kind or category of chart used to represent data in a visualization.
-
D.
figureType
Indicates that one entity is classified as a specific type or category of figure in relation to another entity.
-
E.
diagramType
Indicates the specific kind or category of diagram associated with an entity or context.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.