Triple
T12653676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jula |
E302226
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Urban Jula |
E302226
|
NE 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: Urban Jula | Statement: [Jula, hasDialect, Urban Jula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urban Jula Context triple: [Jula, hasDialect, Urban Jula]
-
A.
Jula
chosen
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
B.
Julez
Julez is a given name used as a personal first name, often considered a modern or stylized variant of "Jules" or "Julius."
-
C.
Jule
Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
-
D.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
E.
Ilana
Ilana is a feminine given name used in various cultures, often with Hebrew origins meaning "tree."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.