Triple
T20683615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samori Touré |
E508356
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Dyula |
E643327
|
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: Dyula | Statement: [Samori Touré, ethnicGroup, Dyula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyula Context triple: [Samori Touré, ethnicGroup, Dyula]
-
A.
Dyula
chosen
Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
B.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
C.
Kidira
Kidira is a town in eastern Senegal near the Malian border that serves as an important road and rail crossing point between the two countries.
-
D.
Amidou
Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
-
E.
Ngola
Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaae5608190ac8cc64aa4717d53 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
Created at: April 16, 2026, 11:45 a.m.