Triple
T17302322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matronalia |
E420067
|
entity |
| Predicate | typeOfVotive |
P102330
|
FINISHED |
| Object | flowers |
—
|
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: flowers | Statement: [Matronalia, typeOfVotive, flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVotive Context triple: [Matronalia, typeOfVotive, flowers]
-
A.
venerationType
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
isVotiveMonumentOf
Indicates that an object is a votive monument dedicated or offered in honor of a particular entity.
-
C.
typeOfTribute
chosen
Indicates the specific kind or category of tribute that is being given or required in a relationship.
-
D.
hasVotiveOfferings
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
E.
typeOfCultObject
Indicates that one entity is the specific kind or category of cult object to which the other entity belongs or is classified.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fba938819084333764b868bd83 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.