Triple
T12089972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שמעון פרס |
E287914
|
entity |
| Predicate | דת |
P103439
|
FINISHED |
| Object | יהדות |
—
|
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: יהדות | Statement: [שמעון פרס, דת, יהדות]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: דת Context triple: [שמעון פרס, דת, יהדות]
-
A.
letterer
Indicates that one entity serves as the letterer of another, typically responsible for drawing or designing the lettering (such as text or captions) in that work.
-
B.
letters
Indicates that one entity is composed of, represented by, or associated with specific alphabetic characters or written symbols.
-
C.
denType
Indicates the specific kind or category of den associated with an entity.
-
D.
letter3
Indicates that one entity is the third letter (or character) of another entity, typically a string or word.
-
E.
from
Indicates that something originates, is sent, or is derived from a particular source or starting point.
- F. None of above. chosen
Provenance (4 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9178814e081908f67e3846718530e |
completed | April 10, 2026, 3:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.