Triple
T21000254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Mafu |
E517265
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Ubari |
E119883
|
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: Ubari | Statement: [Lake Mafu, hasNearbySettlement, Ubari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubari Context triple: [Lake Mafu, hasNearbySettlement, Ubari]
-
A.
Ubari
chosen
Ubari is an oasis town in southwestern Libya’s Fezzan region, known for its nearby sand dunes and picturesque desert lakes.
-
B.
Zinder
Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
-
C.
Mopti
Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
-
D.
Kassala
Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
-
E.
Xala
Xala is a 1974 satirical film (and earlier novel) by Ousmane Sembène that critiques post-independence African elites through the story of a corrupt businessman afflicted with impotence.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b545f5081909152211b7e03bea1 |
completed | May 17, 2026, 3:51 a.m. |
Created at: April 16, 2026, 1:52 p.m.