Triple
T4918191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviticus 16 |
E110397
|
entity |
| Predicate | setsInTime |
P20835
|
FINISHED |
| Object | Seventh month tenth day observance |
—
|
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: Seventh month tenth day observance | Statement: [Leviticus 16, setsInTime, Seventh month tenth day observance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsInTime Context triple: [Leviticus 16, setsInTime, Seventh month tenth day observance]
-
A.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
B.
setsInMotion
Indicates initiating movement or causing an entity to begin moving or proceeding from a state of rest.
-
C.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
D.
timeOfSetting
chosen
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
E.
sets
Indicates that an entity places, positions, or puts another entity into a particular state, location, or configuration.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa760448190946401b4b21ea8b7 |
completed | March 20, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.