Triple
T5217116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Omdurman |
E117779
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Omdurman |
E64455
|
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: Omdurman | Statement: [Battle of Omdurman, location, Omdurman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omdurman Context triple: [Battle of Omdurman, location, Omdurman]
-
A.
Omdurman
chosen
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.
-
B.
Adigrat
Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
-
C.
Zintan
Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
-
D.
Safaga
Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
-
E.
Dongola
Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a95abdc8190b0babd79cea1360e |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe788f88190a2ac0673daafaab2 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.