Triple
T22554477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rey Bouba |
E557644
|
entity |
| Predicate | hasRulerTitle |
P17756
|
FINISHED |
| Object | Lamido |
—
|
NE NERFINISHED |
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: Lamido | Statement: [Rey Bouba, hasRulerTitle, Lamido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamido Context triple: [Rey Bouba, hasRulerTitle, Lamido]
-
A.
Lamido
chosen
Lamido is the traditional royal title used for the paramount ruler of the Adamawa Emirate in northern Nigeria.
-
B.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
C.
Lamani
Lamani refers to the Lambadi (or Banjara) community, a traditionally nomadic tribal group in India known for their vibrant culture, distinctive dress, and rich folk traditions.
-
D.
Lam
Lam is a shortened form of the name Lambert, commonly used as a nickname or informal variant.
-
E.
Lamalera
Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f780fb88190836408c6de3d3966 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.