Triple
T18399375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanatsujata |
E449950
|
entity |
| Predicate | teachesEthic |
P1192
|
FINISHED |
| Object | inner purity |
—
|
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: inner purity | Statement: [Sanatsujata, teachesEthic, inner purity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesEthic Context triple: [Sanatsujata, teachesEthic, inner purity]
-
A.
hasEthicalTeaching
chosen
Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
-
B.
typeOfEthics
Indicates a relationship where one concept specifies the particular kind or category of ethics that another concept belongs to or is governed by.
-
C.
teachesPhilosophy
Indicates that one entity provides instruction or education in philosophy to another entity.
-
D.
hasEthicOrApproach
Indicates that one entity possesses, follows, or is characterized by a particular ethic, principle, or methodological approach in its behavior or practice.
-
E.
positionOnEthics
Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518499b1481909c5de786c48faeba |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.