Triple
T3843129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubaland |
E93501
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Kismayo |
E349483
|
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: Kismayo | Statement: [Jubaland, hasMajorCity, Kismayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kismayo Context triple: [Jubaland, hasMajorCity, Kismayo]
-
A.
Kismayo
chosen
Kismayo is a key port city in southern Somalia, strategically located on the Indian Ocean and serving as an important regional commercial and maritime hub.
-
B.
Hawiye
The Hawiye are one of the largest and most influential Somali clans, historically centered in central and southern Somalia and prominent in the country’s politics, economy, and culture.
-
C.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
-
D.
Dutse
Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
-
E.
Kismayo Airport
Kismayo Airport is the main civil and military airfield serving the port city of Kismayo in southern Somalia’s Jubaland region.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb4fd308190a636ba9dbbe57ed6 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5283876148190b06633b91a788ffe |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 9, 2026, 3:18 p.m.