Triple
T17256670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War in Sudan |
E418898
|
entity |
| Predicate | involvesRegion |
P285
|
FINISHED |
| Object | Abyei |
E896615
|
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: Abyei | Statement: [War in Sudan, involvesRegion, Abyei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abyei Context triple: [War in Sudan, involvesRegion, Abyei]
-
A.
Abyei
chosen
Abyei is a disputed oil-rich border region between Sudan and South Sudan, inhabited mainly by the Ngok Dinka people and frequently a flashpoint of conflict.
-
B.
Kordofan
Kordofan is a historical and geographical region in central Sudan known for its semi-arid savannah, diverse ethnic groups, and role as a traditional trade and agricultural area.
-
C.
South Kordofan
South Kordofan is a conflict-affected state in central Sudan known for its ethnic diversity, Nuba Mountains region, and complex political and humanitarian challenges.
-
D.
Arabi Juba
Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
-
E.
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.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ff6818819090077dc4a7b774ae |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.