Triple
T16080374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudug |
E390092
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | North Mudug |
E390092
|
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: North Mudug | Statement: [Mudug, hasSubregion, North Mudug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Mudug Context triple: [Mudug, hasSubregion, North Mudug]
-
A.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
-
B.
Kiryandongo
Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
-
C.
Mudug
chosen
Mudug is a central Somali region known for its arid landscape, pastoralist communities, and strategic position linking northern and southern Somalia.
-
D.
Kenuzi-Dongola
Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
-
E.
Nwoya
Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844a5c68819086a13c93a787b436 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb917b008190b1680b347cfa0892 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.