Triple
T11086339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahr el Jebel |
E262128
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Juba |
E112528
|
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: Juba | Statement: [Bahr el Jebel, passesNear, Juba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juba Context triple: [Bahr el Jebel, passesNear, Juba]
-
A.
Juba
chosen
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
-
B.
Juba
Juba is a character in Joseph Addison’s tragedy "Cato," depicted as a noble Numidian prince whose honor and virtue contrast with the corruption of Rome.
-
C.
Khartoum
Khartoum is the capital and largest city of Sudan, located at the confluence of the Blue and White Nile rivers and serving as a major political, economic, and cultural center in the region.
-
D.
Sennar city
Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
-
E.
Omdurman
Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c3ed9c8190a3f5cdf1fe0e74a2 |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3768c0081908d209b854dd08dd2 |
completed | April 19, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:27 p.m.