Triple
T21868897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braille |
E539952
|
entity |
| Predicate | readingTools |
P39027
|
FINISHED |
| Object | braille paper |
—
|
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: braille paper | Statement: [Braille, readingTools, braille paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingTools Context triple: [Braille, readingTools, braille paper]
-
A.
readingAid
chosen
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
B.
readingOrganizer
Indicates that an entity is responsible for planning, managing, or coordinating reading-related activities or materials for others.
-
C.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
D.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
-
E.
readingTechnology
Indicates a relationship where a reading activity involves or is carried out using a particular technology.
- 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.