Triple
T12346259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mai Idris Alooma |
E294361
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Ngazargamu |
E212833
|
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: Ngazargamu | Statement: [Mai Idris Alooma, capital, Ngazargamu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngazargamu Context triple: [Mai Idris Alooma, capital, Ngazargamu]
-
A.
Ngazargamu
chosen
Ngazargamu was the principal capital city of the Kanem-Bornu Empire in the Lake Chad region, serving as a major political and commercial center in precolonial West Africa.
-
B.
Ghogha
Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
-
C.
Ghanongga
Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
-
D.
Bargachia
Bargachia is a small town in the Howrah district of West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
E.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346dd09481908f4c80e89e2f4705 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.