Triple
T22117382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakes of Ounianga |
E546576
|
entity |
| Predicate | nearestSettlement |
P3883
|
FINISHED |
| Object | Ounianga Kebir |
—
|
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: Ounianga Kebir | Statement: [Lakes of Ounianga, nearestSettlement, Ounianga Kebir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ounianga Kebir Context triple: [Lakes of Ounianga, nearestSettlement, Ounianga Kebir]
-
A.
Ounianga Kebir
chosen
Ounianga Kebir is a remote oasis town in northern Chad, known as part of the Ounianga lake region recognized for its striking desert lakes and unique Saharan landscapes.
-
B.
Kisii
Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
-
C.
Nimri
Nimri is a Spanish actress and singer best known for her roles in series like "Money Heist" and "Vis a Vis."
-
D.
Kimeru
Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
-
E.
Kenuzi-Dongola
Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294e85708190b455846bacbdfd03 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.