Triple
T8938248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borkou |
E212831
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ounianga Serir
Ounianga Serir is a remote oasis settlement in northern Chad, known for its chain of picturesque desert lakes in the Sahara.
|
E767294
|
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: Ounianga Serir | Statement: [Borkou, hasSettlement, Ounianga Serir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ounianga Serir Context triple: [Borkou, hasSettlement, Ounianga Serir]
-
A.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
B.
Ngazidja
Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
-
C.
Fouta Djallon
Fouta Djallon is a mountainous region in central Guinea known as a major watershed of West Africa and the source of several important rivers, including the Niger and Senegal.
-
D.
Djiba
Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
-
E.
Téboursouk
Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
- 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: Ounianga Serir Triple: [Borkou, hasSettlement, Ounianga Serir]
Generated description
Ounianga Serir is a remote oasis settlement in northern Chad, known for its chain of picturesque desert lakes in the Sahara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ounianga Serir Target entity description: Ounianga Serir is a remote oasis settlement in northern Chad, known for its chain of picturesque desert lakes in the Sahara.
-
A.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
B.
Ngazidja
Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
-
C.
Fouta Djallon
Fouta Djallon is a mountainous region in central Guinea known as a major watershed of West Africa and the source of several important rivers, including the Niger and Senegal.
-
D.
Djiba
Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
-
E.
Téboursouk
Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc24b4fe481909b7c4f58b787a21e |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc33fbedc8190a8f04ec6f43891f0 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.