Triple
T4307402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FET |
E93987
|
entity |
| Predicate | usedInCountry |
P715
|
FINISHED |
| Object | South Sudan |
E42878
|
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: South Sudan | Statement: [FET, usedInCountry, South Sudan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Sudan Context triple: [FET, usedInCountry, South Sudan]
-
A.
South Sudan
chosen
South Sudan is a landlocked country in East-Central Africa that gained independence from Sudan in 2011 and has since faced ongoing political instability and humanitarian challenges.
-
B.
Sudan
Sudan is a large Northeast African country along the Nile River, known for its diverse cultures, ancient Nubian history, and a modern history marked by civil conflict and the secession of South Sudan.
-
C.
Nzara, Sudan
Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
-
D.
Sennar State
Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
-
E.
Darfur region
The Darfur region is a conflict-affected area in western Sudan known for its ethnic diversity, humanitarian crises, and international peacekeeping interventions.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d07aede08190bbabc6a7b5a7dfb6 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:11 p.m.