Triple
T10736509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder Nezikin |
E253207
|
entity |
| Predicate | hasPositionInMishnahOrder |
P37923
|
FINISHED |
| Object | fourth order |
—
|
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: fourth order | Statement: [Seder Nezikin, hasPositionInMishnahOrder, fourth order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionInMishnahOrder Context triple: [Seder Nezikin, hasPositionInMishnahOrder, fourth order]
-
A.
positionInMishnahOrders
chosen
Indicates the specific ordinal position that something occupies within the sequence of Mishnah orders.
-
B.
positionInMishnehTorah
Indicates the specific location or ordering of a given item within the structure of the Mishneh Torah text.
-
C.
positionInTanakh
Indicates the relative location or ordering of a text or passage within the canonical structure of the Tanakh.
-
D.
positionInHebrewBible
Indicates the ordinal position that something occupies within the canonical sequence of books or passages in the Hebrew Bible.
-
E.
hasPositionInBook
Indicates that an entity occupies a specific position or location within a book.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71022aee0819091a5790d3dee6777 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.