Triple
T12653655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jula |
E302226
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Joula |
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: Joula | Statement: [Jula, hasAlternativeName, Joula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joula Context triple: [Jula, hasAlternativeName, Joula]
-
A.
Jaru
Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
-
B.
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.
-
C.
Jina
Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
-
D.
Jita
The Jita are a Bantu-speaking ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania.
-
E.
Njeru
Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
- 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.