Triple
T1205732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviticus 23:26–32 |
E25882
|
entity |
| Predicate | statesPurpose |
P14353
|
FINISHED |
| Object | to make atonement for the Israelites |
—
|
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: to make atonement for the Israelites | Statement: [Leviticus 23:26–32, statesPurpose, to make atonement for the Israelites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statesPurpose Context triple: [Leviticus 23:26–32, statesPurpose, to make atonement for the Israelites]
-
A.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
B.
statesGoal
chosen
Indicates that one entity explicitly expresses or declares a goal or intended outcome related to another entity or situation.
-
C.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
D.
objectiveOfUnitedStates
Indicates that something is an official objective or goal pursued by the United States.
-
E.
statehoodContext
Indicates the contextual circumstances, conditions, or framework under which an entity’s status as a state (or its statehood) is defined, recognized, or discussed.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc314c88190b1b5953834bfce7b |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.