Triple
T21127037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius |
E520583
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Juli |
—
|
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: Juli | Statement: [Julius, hasVariant, Juli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juli Context triple: [Julius, hasVariant, Juli]
-
A.
Juli
Juli is a town in southern Peru that serves as an administrative and historical center on the shores of Lake Titicaca.
-
B.
Juli
chosen
Juli is a given name, typically used as a shortened or variant form of names like Julia or Julian in various languages.
-
C.
Iulis
Iulis is an ancient Greek city, historically known as Ioulis, located on the island of Kea in the Cyclades.
-
D.
Juni
Juni is a bilingual producer known for creating content across multiple languages.
-
E.
Iulii
Iulii is the Latin name for the ancient Roman patrician clan commonly known in English as the Julii, which included notable figures such as Julius Caesar.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72239965c819081b4077b914d0a98 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:56 p.m.