Triple
T18375626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konna |
E446305
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Douentza |
—
|
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: Douentza | Statement: [Konna, roadConnection, Douentza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douentza Context triple: [Konna, roadConnection, Douentza]
-
A.
Douentza
chosen
Douentza is a town and commune in central Mali that serves as an important local hub for trade and administration within the Sahel region.
-
B.
Gouédic
Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
-
C.
Oussouye
Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
-
D.
Ouezzane
Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
-
E.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.