Triple
T24826856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volta–Niger |
E621215
|
entity |
| Predicate | majorLanguagesBySpeakers |
P61052
|
FINISHED |
| Object | Yoruba |
—
|
NE NERFINISHED |
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: Yoruba | Statement: [Volta–Niger, majorLanguagesBySpeakers, Yoruba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorLanguagesBySpeakers Context triple: [Volta–Niger, majorLanguagesBySpeakers, Yoruba]
-
A.
numberOfMajorLanguages
Indicates the total count of major languages associated with a given entity.
-
B.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
C.
nationalLanguageSpeakersOf
Indicates that the subject is a language and the object is a country or region where that language is officially recognized as a national language and spoken by its population.
-
D.
rankedByNumberOfNativeSpeakers
Indicates that entities are ordered or classified according to how many native speakers they have.
-
E.
demographicsSignificantLanguage
chosen
Indicates that a particular language is significantly represented or prevalent within the demographic profile of a population or group.
- F. None of above.
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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:05 a.m.