Triple
T2609972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Precepts |
E58749
|
entity |
| Predicate | fourthPrecept |
P41387
|
FINISHED |
| Object | abstaining from false speech |
—
|
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: abstaining from false speech | Statement: [Five Precepts, fourthPrecept, abstaining from false speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPrecept Context triple: [Five Precepts, fourthPrecept, abstaining from false speech]
-
A.
fourthWork
Indicates that one entity is the fourth work (in a series, sequence, or collection) associated with another entity.
-
B.
fourthEdictContent
Indicates that the subject is associated with, or expresses, the specific content of a fourth edict.
-
C.
recitationVirtue
Indicates that an act of recitation is regarded as a moral good or virtuous behavior.
-
D.
fourthCantoSetting
Indicates the location or environment in which the events of the fourth canto take place.
-
E.
fourthHorseRiderAssociatedWith
Indicates an associative relationship between the fourth horse rider and another entity, without specifying direction or type of influence.
- F. None of above. chosen
Provenance (4 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:50 p.m.