Triple
T4866332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunama |
E108778
|
entity |
| Predicate | spokenByPopulation |
P36744
|
FINISHED |
| Object | tens of thousands of speakers |
—
|
LITERAL 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: tens of thousands of speakers | Statement: [Kunama, spokenByPopulation, tens of thousands of speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenByPopulation Context triple: [Kunama, spokenByPopulation, tens of thousands of speakers]
-
A.
haveSpeakerPopulation
chosen
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
B.
spokenByEthnicGroup
Indicates that a particular language, dialect, or speech variety is used or spoken by a specified ethnic group.
-
C.
spokenByGeneration
Indicates that something (such as a statement, text, or utterance) is spoken or produced vocally by a particular generation or age cohort.
-
D.
spokenByMinorityIn
Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
-
E.
includesLanguageWithLargeSpeakerPopulation
Indicates that the entity contains or is associated with at least one language that has a large number of speakers.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7a42f88190bb1ef7261bcbc2a8 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.