Triple
T4541720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salus populi suprema lex esto |
E107547
|
entity |
| Predicate | componentMeaningOfSalus |
P47490
|
FINISHED |
| Object | welfare or safety |
—
|
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: welfare or safety | Statement: [Salus populi suprema lex esto, componentMeaningOfSalus, welfare or safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentMeaningOfSalus Context triple: [Salus populi suprema lex esto, componentMeaningOfSalus, welfare or safety]
-
A.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
B.
CISMeaning
chosen
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation in a given context.
-
C.
latinMeaning
Indicates that one entity expresses or specifies the meaning or translation of another entity in Latin.
-
D.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d219d88190a67ada845323d7fb |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.