Triple
T34424066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | סדר זרעים |
E883622
|
entity |
| Predicate | מופיע חלקית ב |
P70125
|
FINISHED |
| Object | תלמוד בבלי |
—
|
NE NERFINISHED |
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: תלמוד בבלי | Statement: [סדר זרעים, מופיע חלקית ב, תלמוד בבלי]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מופיע חלקית ב Context triple: [סדר זרעים, מופיע חלקית ב, תלמוד בבלי]
-
A.
isPartially
chosen
Indicates that one entity is included within another to some extent, but not completely or fully.
-
B.
partiallyOn
Indicates that one entity rests or extends over another such that only a portion of its area, volume, or length is supported or in contact.
-
C.
partiallyDisplayedAt
Indicates that an entity is only partially visible or shown at a particular location, time, or display context.
-
D.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
E.
partiallyInColor
Indicates that an entity is only partly rendered or perceived in color, with some portions not in color.
- 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_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.