Triple
T34483634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bava Kamma |
E885254
|
entity |
| Predicate | orderWithinNezikin |
P157316
|
FINISHED |
| Object | first tractate |
—
|
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: first tractate | Statement: [Bava Kamma, orderWithinNezikin, first tractate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderWithinNezikin Context triple: [Bava Kamma, orderWithinNezikin, first tractate]
-
A.
orderWithin
Indicates that one entity is positioned or ranked before or after another entity within a defined sequence or ordering.
-
B.
isOrderIn
chosen
Indicates that one entity is contained within or belongs to a specified order or sequence of entities.
-
C.
orden
Indicates that one entity issues, gives, or establishes an order, command, or directive concerning another entity or situation.
-
D.
orderOrDecoration
Indicates that an entity has been awarded or holds a specific order, honor, or decoration.
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 2:01 a.m.