Triple
T19069974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fauna |
E466765
|
entity |
| Predicate | cultTitle |
P14926
|
FINISHED |
| Object | Bona Dea Fauna |
—
|
NE NERFINISHED |
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: Bona Dea Fauna | Statement: [Fauna, cultTitle, Bona Dea Fauna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bona Dea Fauna Context triple: [Fauna, cultTitle, Bona Dea Fauna]
-
A.
Bona Dea
chosen
Bona Dea is an ancient Roman goddess associated with fertility, healing, and women’s mysteries, worshipped in secret female-only rites.
-
B.
Spes Bona
Spes Bona is the Latin motto of the University of Cape Town, meaning "Good Hope" and reflecting the institution’s historical and regional identity.
-
C.
Caecilia
Caecilia is a Latin feminine given name, historically associated with the Roman family name Caecilius and later with the Christian saint Cecilia.
-
D.
Dioclea
Dioclea is a medieval Balkan principality, also known as Duklja, that was centered in what is now Montenegro.
-
E.
Clementinae
Clementinae is a collection of papal decretals issued by Pope Clement V that became an important component of medieval canon law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.