Triple
T21626718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justitia |
E533723
|
entity |
| Predicate | hasLatinName |
P3646
|
FINISHED |
| Object | Iustitia |
—
|
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: Iustitia | Statement: [Justitia, hasLatinName, Iustitia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iustitia Context triple: [Justitia, hasLatinName, Iustitia]
-
A.
Justitia
chosen
Justitia is the Roman goddess of justice, law, and fairness, typically depicted with scales and a sword to symbolize impartial judgment and authority.
-
B.
Justa
Justa was a daughter of the Roman emperor Valentinian I, belonging to the imperial family of the late Western Roman Empire.
-
C.
Justitia Omnibus
Justitia Omnibus is the Latin motto of Washington, D.C., meaning "Justice for All."
-
D.
Grand Justice
Grand Justice is a high-ranking constitutional judge serving on Taiwan’s Judicial Yuan, responsible for interpreting the Constitution and overseeing constitutional matters.
-
E.
Mirror of justice
Mirror of justice is a Marian title from the Litany of Loreto that honors the Virgin Mary as the perfect reflection of God’s justice and holiness.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.