Triple
T20082425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yehuda ben Ilai |
E500034
|
entity |
| Predicate | frequencyOfCitation |
P97311
|
FINISHED |
| Object | one of the most frequently cited tannaim in the Mishnah |
—
|
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: one of the most frequently cited tannaim in the Mishnah | Statement: [Yehuda ben Ilai, frequencyOfCitation, one of the most frequently cited tannaim in the Mishnah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfCitation Context triple: [Yehuda ben Ilai, frequencyOfCitation, one of the most frequently cited tannaim in the Mishnah]
-
A.
citationUsage
Indicates how one work cites, references, or otherwise makes use of another work as a source.
-
B.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
C.
hasCitationCount
chosen
Indicates that an entity (such as a publication) is associated with a specific number representing how many times it has been cited.
-
D.
citationIndexedIn
Indicates that a citation is recorded, tracked, or listed within a particular index, database, or catalog.
-
E.
citationOf
Indicates that one entity cites, references, or formally acknowledges another entity as a source.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e665588a9c8190886b693b13a215a8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:41 p.m.