Triple
T31248980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שבט יהודה |
E796762
|
entity |
| Predicate | תרם ל |
P499
|
FINISHED |
| Object | עיצוב הזהות היהודית |
—
|
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: עיצוב הזהות היהודית | Statement: [שבט יהודה, תרם ל, עיצוב הזהות היהודית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: תרם ל Context triple: [שבט יהודה, תרם ל, עיצוב הזהות היהודית]
-
A.
donated
chosen
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
-
B.
by
Indicates that an action is performed, caused, or authored through the agency, means, or proximity of a specified entity.
-
C.
loanedTo
Indicates that one entity has temporarily provided something it owns or controls to another entity with the expectation of its return.
-
D.
to
Indicates a directional or goal-oriented relationship in which something is directed, transferred, or oriented toward a target or endpoint.
-
E.
تحمله
Indicates that one entity carries, bears, or supports another entity physically, emotionally, or figuratively.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:11 p.m.