Triple
T3237773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaadir |
E67895
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mogadishu |
E12694
|
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: Mogadishu | Statement: [Banaadir, contains, Mogadishu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogadishu Context triple: [Banaadir, contains, Mogadishu]
-
A.
Mogadishu
chosen
Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
-
B.
Djibouti City
Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
-
C.
Bossaso
Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
-
D.
Nouakchott
Nouakchott is the capital and largest city of Mauritania, located on the Atlantic coast of Northwest Africa.
-
E.
Maiduguri
Maiduguri is a major city in northeastern Nigeria that serves as the capital of Borno State and a key economic and administrative center in the 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef29bf48190a9aa3a39f0138428 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774a97c481908be820bc5ddf786d |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.