Triple
T20405356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Verticordia |
E500452
|
entity |
| Predicate | hasVirtueDomain |
P117973
|
FINISHED |
| Object | pudicitia |
—
|
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: pudicitia | Statement: [Venus Verticordia, hasVirtueDomain, pudicitia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVirtueDomain Context triple: [Venus Verticordia, hasVirtueDomain, pudicitia]
-
A.
isVirtueName
Indicates that something is identified as the name or label of a virtue.
-
B.
testsVirtueOf
Indicates that one entity challenges or evaluates the moral character or virtue of another entity.
-
C.
hasFirstTenDaysVirtue
Indicates that an entity exhibits or is associated with a particular virtue during the first ten days of a specified period or context.
-
D.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
E.
hasDomainFeature
chosen
Indicates that something possesses or is characterized by a specific feature or attribute within a particular domain or context.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.