Triple
T13131163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman medicine |
E311967
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Salus |
E650053
|
NE 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: Salus | Statement: [Roman medicine, associatedDeity, Salus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salus Context triple: [Roman medicine, associatedDeity, Salus]
-
A.
Salus
chosen
Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
-
B.
Clementia
Clementia is a feminine given name of Latin origin associated with the virtue of mercy and clemency.
-
C.
Fidenza
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
-
D.
Camillus
Camillus is an ancient Roman family name (nomen) most famously borne by the statesman and general Marcus Furius Camillus, celebrated as a second founder of Rome.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e290c308819090ee4436c199b57c |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.