Triple
T33831452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opuuo |
E867111
|
entity |
| Predicate | relativeSizeOfSpeakerCommunity |
—
|
GENERATED |
| Object | small |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeOfSpeakerCommunity Context triple: [Opuuo, relativeSizeOfSpeakerCommunity, small]
-
A.
haveSpeakerPopulation
chosen
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
B.
hasSpeakerCommunityStatus
Indicates that an entity has a particular status or role within a community of speakers of a language.
-
C.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
-
D.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
-
E.
audienceSizeApproximate
Indicates an estimated or approximate number of people in the audience for an event or content.
- F. None of above.
Provenance (1 batch)
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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.