Triple
T10486718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Niger |
E247318
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Dirkou
Dirkou is a remote oasis town in northeastern Niger that serves as a key stopover on trans-Saharan migration and trade routes across the Sahara Desert.
|
E866923
|
NE FINISHED |
How this triple was built (4 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: Dirkou | Statement: [Northern Niger, containsTown, Dirkou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirkou Context triple: [Northern Niger, containsTown, Dirkou]
-
A.
Doncieux
Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
-
B.
Kouneli
Kouneli is a small Greek island in the Echinades group in the Ionian Sea.
-
C.
Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
-
D.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
E.
Makokou
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dirkou Triple: [Northern Niger, containsTown, Dirkou]
Generated description
Dirkou is a remote oasis town in northeastern Niger that serves as a key stopover on trans-Saharan migration and trade routes across the Sahara Desert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirkou Target entity description: Dirkou is a remote oasis town in northeastern Niger that serves as a key stopover on trans-Saharan migration and trade routes across the Sahara Desert.
-
A.
Doncieux
Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
-
B.
Kouneli
Kouneli is a small Greek island in the Echinades group in the Ionian Sea.
-
C.
Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
-
D.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
E.
Makokou
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
- F. None of above. chosen
Provenance (5 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096a4d3481908e9c319f6cdce4f1 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc8c73748190b97c78af6cf142d9 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901e1ecf88190acd24a0e20462cb9 |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 12:23 p.m.