Triple
T7225924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hygieia |
E154777
|
entity |
| Predicate | romanEquivalent |
P6662
|
FINISHED |
| Object |
Salus
Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
|
E650053
|
NE FINISHED |
How this triple was built (4 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: [Hygieia, romanEquivalent, Salus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salus Context triple: [Hygieia, romanEquivalent, Salus]
-
A.
Clementia
Clementia is a feminine given name of Latin origin associated with the virtue of mercy and clemency.
-
B.
Fidenza
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
-
C.
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.
-
D.
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.
-
E.
Ascea
Ascea is a coastal town in southern Italy’s Cilento region, known for its beaches, archaeological sites, and proximity to the ancient city of Elea (Velia).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Salus Triple: [Hygieia, romanEquivalent, Salus]
Generated description
Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salus Target entity description: Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
-
A.
Clementia
Clementia is a feminine given name of Latin origin associated with the virtue of mercy and clemency.
-
B.
Fidenza
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
-
C.
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.
-
D.
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.
-
E.
Ascea
Ascea is a coastal town in southern Italy’s Cilento region, known for its beaches, archaeological sites, and proximity to the ancient city of Elea (Velia).
- F. None of above. chosen
Provenance (5 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9dc835881909ea646c392a980b6 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc17a3788190842a852fb4b96185 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cccdde308190a02c6892f61025e2 |
completed | March 28, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd7e891c8190a6a82227addac434 |
completed | March 28, 2026, 12:45 p.m. |
Created at: March 27, 2026, 2:54 p.m.