Triple
T2637085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Nile |
E59770
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Jinja |
E262127
|
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: Jinja | Statement: [Victoria Nile, passesThrough, Jinja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinja Context triple: [Victoria Nile, passesThrough, Jinja]
-
A.
Jinja
chosen
Jinja is a major town in southeastern Uganda, known as a key industrial center and a popular tourist destination near the source of the Nile River.
-
B.
Jina
Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
-
C.
Jasper
Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
-
D.
Jasper
Jasper is a masculine given name of Persian origin meaning "treasurer," historically associated with one of the Three Wise Men and used in various English-speaking countries.
-
E.
Jing
Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e3190081908ea828fe79569cc9 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b3e9b48190857ae21022a4fb15 |
completed | March 10, 2026, 3:32 a.m. |
Created at: March 6, 2026, 9:50 p.m.