Triple
T16215792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aventine Triad |
E393588
|
entity |
| Predicate | LiberaRole |
P122204
|
FINISHED |
| Object | goddess of female fertility and growth |
—
|
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: goddess of female fertility and growth | Statement: [Aventine Triad, LiberaRole, goddess of female fertility and growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LiberaRole Context triple: [Aventine Triad, LiberaRole, goddess of female fertility and growth]
-
A.
libraryRole
Indicates the specific function, responsibility, or position an entity holds within the context of a library.
-
B.
authorityRole
Indicates that one entity holds an official position or role that grants it authority or control over another entity or within a specific context.
-
C.
ClientRole
Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
-
D.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
E.
gammaRole
Indicates a tertiary or supporting role that an entity plays within a structured hierarchy of roles or participants in an event or relationship.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.