Triple
T12653991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai script |
E302235
|
entity |
| Predicate | writingSystemFor |
P454
|
FINISHED |
| Object |
Vai language
The Vai language is a Mande language spoken primarily in Liberia and Sierra Leone, notable for its indigenous syllabic writing system.
|
E996640
|
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: Vai language | Statement: [Vai script, writingSystemFor, Vai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vai language Context triple: [Vai script, writingSystemFor, Vai language]
-
A.
Vaiphei language
The Vaiphei language is a Tibeto-Burman language spoken primarily by the Vaiphei people in northeastern India, especially in the state of Manipur.
-
B.
Vasi-weri language
The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
-
C.
Wuvulu-Aua language
The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
-
D.
Vangunu language
The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
-
E.
Warji language
Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
- 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: Vai language Triple: [Vai script, writingSystemFor, Vai language]
Generated description
The Vai language is a Mande language spoken primarily in Liberia and Sierra Leone, notable for its indigenous syllabic writing system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vai language Target entity description: The Vai language is a Mande language spoken primarily in Liberia and Sierra Leone, notable for its indigenous syllabic writing system.
-
A.
Vaiphei language
The Vaiphei language is a Tibeto-Burman language spoken primarily by the Vaiphei people in northeastern India, especially in the state of Manipur.
-
B.
Vasi-weri language
The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
-
C.
Wuvulu-Aua language
The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
-
D.
Vangunu language
The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
-
E.
Warji language
Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
- 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.