Triple
T888207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sefer Yetzirah |
E19177
|
entity |
| Predicate | numberOfLettersDiscussed |
P3567
|
FINISHED |
| Object | 22 |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLettersDiscussed Context triple: [Sefer Yetzirah, numberOfLettersDiscussed, 22]
-
A.
hasNumberOfLetters
Indicates a relationship where an entity is associated with the count of letters it contains.
-
B.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
C.
hasLetterCount
chosen
Indicates that an entity is associated with a specific number representing how many letters it contains.
-
D.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
E.
numberOfCommonUseCharacters
Indicates the count of characters that are shared in common between two entities’ representations or strings.
- F. None of above.
Provenance (2 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9227ec8190a726456fc77c3ebb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.