Triple
T12653742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai language |
E302228
|
entity |
| Predicate | hasWritingSystem |
P454
|
FINISHED |
| Object | Vai syllabary |
E643330
|
NE FINISHED |
How this triple was built (2 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 syllabary | Statement: [Vai language, hasWritingSystem, Vai syllabary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vai syllabary Context triple: [Vai language, hasWritingSystem, Vai syllabary]
-
A.
Vai syllabary
chosen
The Vai syllabary is an indigenous writing system from Liberia and Sierra Leone used to represent the Vai language of the Mande family.
-
B.
Afaka syllabary
The Afaka syllabary is an indigenous writing system developed in the early 20th century for the Ndyuka language of Suriname, notable as one of the few known scripts created by a Maroon community in the Americas.
-
C.
Kana
Kana is a settlement located within Pakistan’s Shangla District in the Khyber Pakhtunkhwa province.
-
D.
Kana
Kana is the Japanese syllabic writing system comprising hiragana and katakana, used to represent native words, grammatical elements, and foreign terms.
-
E.
Katakana
Katakana is one of the two main Japanese phonetic writing systems, primarily used for foreign words, onomatopoeia, emphasis, and technical or scientific terms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 9, 2026, 5:18 p.m.