Triple
T27160174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurozumi school of Shinto |
E682638
|
entity |
| Predicate | viewOnAmaterasu |
P69111
|
FINISHED |
| Object | Amaterasu as source of life-giving light |
—
|
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: Amaterasu as source of life-giving light | Statement: [Kurozumi school of Shinto, viewOnAmaterasu, Amaterasu as source of life-giving light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnAmaterasu Context triple: [Kurozumi school of Shinto, viewOnAmaterasu, Amaterasu as source of life-giving light]
-
A.
viewOfGoddess
chosen
Indicates a relationship where something visually depicts, represents, or shows an image or perspective of a goddess.
-
B.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
C.
viewOnSun
Indicates a relationship where an entity has a particular perspective, opinion, or stance regarding the sun.
-
D.
viewOnHeaven
Indicates a relationship where an entity holds a particular perspective, opinion, or belief about heaven.
-
E.
viewOnRama
Indicates that one entity has a visual perspective or view directed toward the entity named Rama.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 9:18 a.m.