Triple
T34424451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makkot |
E883630
|
entity |
| Predicate | numberOfMishnahChapters |
P98049
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Makkot, numberOfMishnahChapters, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMishnahChapters Context triple: [Makkot, numberOfMishnahChapters, 3]
-
A.
hasMishnahChapters
chosen
Indicates that an entity (typically a tractate or section) is associated with a specific number or set of chapters in the Mishnah.
-
B.
numberOfTractates
Indicates the total count of tractates associated with a given entity or collection.
-
C.
scripturalChapters
Indicates that one entity is composed of, contains, or is divided into the specified scriptural chapters.
-
D.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
E.
hasJerusalemTalmudChapters
Indicates that an entity (such as a tractate or section) is associated with a specified number or set of chapters in the Jerusalem Talmud.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.