Triple
T24542629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilchot Issurei Bi’ah |
E607136
|
entity |
| Predicate | workBelongsToGenre |
P62560
|
FINISHED |
| Object | codification of Jewish law |
—
|
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: codification of Jewish law | Statement: [Hilchot Issurei Bi’ah, workBelongsToGenre, codification of Jewish law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workBelongsToGenre Context triple: [Hilchot Issurei Bi’ah, workBelongsToGenre, codification of Jewish law]
-
A.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
B.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or associated with a particular genre.
-
C.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
D.
workNumberInGenre
Indicates the ordinal position or sequence number assigned to a particular work within a specific genre.
-
E.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.