Triple
T6504928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinawan language |
E149983
|
entity |
| Predicate | majorSpeakerDemographic |
P7875
|
FINISHED |
| Object | older generations in Okinawa |
—
|
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: older generations in Okinawa | Statement: [Okinawan language, majorSpeakerDemographic, older generations in Okinawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSpeakerDemographic Context triple: [Okinawan language, majorSpeakerDemographic, older generations in Okinawa]
-
A.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
B.
primarySpeakers
Indicates the entities that are the main or most significant speakers associated with another entity (such as an event, recording, or language).
-
C.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
demographicsDescriptor
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
E.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:42 p.m.