Triple
T21709483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iunius |
E535861
|
entity |
| Predicate | hasAbbreviationInLatinTexts |
P95138
|
FINISHED |
| Object | Jun. |
—
|
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: Jun. | Statement: [Iunius, hasAbbreviationInLatinTexts, Jun.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationInLatinTexts Context triple: [Iunius, hasAbbreviationInLatinTexts, Jun.]
-
A.
hasLatinRubrics
Indicates that the associated item includes instructional or explanatory text (rubrics) written in Latin.
-
B.
hasAbbreviationInPortuguese
Indicates that one entity is used as the Portuguese-language abbreviation or shortened form of another entity.
-
C.
correspondsToAbbreviationInItalian
Indicates that one entity is the full form or concept for which the other entity serves as an abbreviation in Italian.
-
D.
hasLatinInfluence
Indicates that one entity exerts or reflects cultural, linguistic, or stylistic influence derived from Latin on another entity.
-
E.
hasShortLatinName
chosen
Indicates that an entity is associated with a brief or abbreviated Latin name.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5321d34819091f3cd03f7b407c0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.