Triple
T11397558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laka language |
E270016
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Laka (Chad)
Laka (Chad) is a Central Sudanic language spoken primarily in southwestern Chad.
|
E923590
|
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: Laka (Chad) | Statement: [Laka language, hasAlternativeName, Laka (Chad)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laka (Chad) Context triple: [Laka language, hasAlternativeName, Laka (Chad)]
-
A.
Maba (Chad)
Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
-
B.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
C.
Koussassé
Koussassé is an alternative name for the Kusaal language, a Gur language spoken primarily in northern Ghana and parts of Burkina Faso.
-
D.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
E.
Ndiass
Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
- 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: Laka (Chad) Triple: [Laka language, hasAlternativeName, Laka (Chad)]
Generated description
Laka (Chad) is a Central Sudanic language spoken primarily in southwestern Chad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laka (Chad) Target entity description: Laka (Chad) is a Central Sudanic language spoken primarily in southwestern Chad.
-
A.
Maba (Chad)
Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
-
B.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
C.
Koussassé
Koussassé is an alternative name for the Kusaal language, a Gur language spoken primarily in northern Ghana and parts of Burkina Faso.
-
D.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
E.
Ndiass
Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.