Triple
T19162221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayn Sof |
E469082
|
entity |
| Predicate | understoodThrough |
P80803
|
FINISHED |
| Object | its emanations |
—
|
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: its emanations | Statement: [Ayn Sof, understoodThrough, its emanations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understoodThrough Context triple: [Ayn Sof, understoodThrough, its emanations]
-
A.
understands
Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
-
B.
betterUnderstoodAs
chosen
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
-
C.
canBeUnderstoodBy
Indicates that something is comprehensible or interpretable to a particular entity or group.
-
D.
comprende
Indicates that one entity includes, contains, or encompasses another as a part or component.
-
E.
communicationUnderstoodBy
Indicates that a communicated message or information is successfully comprehended by the receiving entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebe03ac8190bbe0b34ebf0d90c6 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.