Triple
T12653765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai language |
E302228
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Liberian Vai
Liberian Vai is a primary dialect of the Vai language spoken in Liberia, known for its use of the indigenous Vai syllabary.
|
E996626
|
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: Liberian Vai | Statement: [Vai language, hasDialects, Liberian Vai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberian Vai Context triple: [Vai language, hasDialects, Liberian Vai]
-
A.
Vuré
Vuré is an alternative name for the Lakon language, an Oceanic language spoken on the island of Gaua in Vanuatu.
-
B.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
-
C.
Wele-Nzas
Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
-
D.
Northwestern Sierra Leone
Northwestern Sierra Leone is a geographic area of Sierra Leone that serves as a primary homeland and cultural center for the Temne people.
-
E.
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
- 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: Liberian Vai Triple: [Vai language, hasDialects, Liberian Vai]
Generated description
Liberian Vai is a primary dialect of the Vai language spoken in Liberia, known for its use of the indigenous Vai syllabary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liberian Vai Target entity description: Liberian Vai is a primary dialect of the Vai language spoken in Liberia, known for its use of the indigenous Vai syllabary.
-
A.
Vuré
Vuré is an alternative name for the Lakon language, an Oceanic language spoken on the island of Gaua in Vanuatu.
-
B.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
-
C.
Wele-Nzas
Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
-
D.
Northwestern Sierra Leone
Northwestern Sierra Leone is a geographic area of Sierra Leone that serves as a primary homeland and cultural center for the Temne people.
-
E.
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.