Triple
T21868893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braille |
E539952
|
entity |
| Predicate | writingModality |
P118124
|
FINISHED |
| Object | embossing |
—
|
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: embossing | Statement: [Braille, writingModality, embossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingModality Context triple: [Braille, writingModality, embossing]
-
A.
writingModel
Indicates that one entity serves as the writing system, script, or notation model used to represent the language or written content of another entity.
-
B.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
-
C.
writingSetting
Indicates the context or environment in which a piece of writing takes place or is produced.
-
D.
writingComponent
Indicates that one entity is a written part or element that contributes to the composition or structure of another entity.
-
E.
mannerOfWriting
chosen
Indicates the way or style in which something is written or expressed in writing.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33305d081908cd070134420607a |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:57 p.m.