Triple
T3507189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNIST |
E74103
|
entity |
| Predicate | numberOfClasses |
P38890
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [MNIST, numberOfClasses, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfClasses Context triple: [MNIST, numberOfClasses, 10]
-
A.
currentNumberOfClasses
chosen
Indicates the present count of classes associated with or contained by a given entity.
-
B.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
C.
hasNumberOfLessons
Indicates the specific count of lessons associated with an entity.
-
D.
originalNumberOfClasses
Indicates the initial total count of classes before any changes such as additions, removals, or merges occur.
-
E.
numberOfCases
Indicates the total count of individual instances, occurrences, or records associated with a particular situation, condition, or category.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.