Triple
T19775033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way of Light and Way of Darkness |
E474980
|
entity |
| Predicate | categorizes |
P75713
|
FINISHED |
| Object | virtues |
—
|
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: virtues | Statement: [Way of Light and Way of Darkness, categorizes, virtues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categorizes Context triple: [Way of Light and Way of Darkness, categorizes, virtues]
-
A.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
B.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
textCategory
chosen
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
D.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
E.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535effcc819080a71de148759674 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.