Triple
T13082738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater Senatus |
E310251
|
entity |
| Predicate | symbolizesRole |
P129
|
FINISHED |
| Object | motherly protector of the Senate |
—
|
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: motherly protector of the Senate | Statement: [Mater Senatus, symbolizesRole, motherly protector of the Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolizesRole Context triple: [Mater Senatus, symbolizesRole, motherly protector of the Senate]
-
A.
symbolicRoleOfTarget
Indicates that the target entity serves as a symbolic representation or emblem for another entity or concept.
-
B.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
D.
symbolicRoleInProphecy
Indicates that an entity serves as a symbolic figure or sign within a prophecy, representing or foreshadowing specific events, themes, or outcomes.
-
E.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.