Triple
T25832599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djuka |
E650703
|
entity |
| Predicate | ethnonymUsage |
P138141
|
FINISHED |
| Object | term used for both people and their language |
—
|
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: term used for both people and their language | Statement: [Djuka, ethnonymUsage, term used for both people and their language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnonymUsage Context triple: [Djuka, ethnonymUsage, term used for both people and their language]
-
A.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
B.
ethnonymAttestedIn
Indicates that the name of an ethnic group (ethnonym) is documented or recorded in a specified source, context, or medium.
-
C.
ethnonymScope
chosen
Indicates the scope or range of people, groups, or contexts to which a given ethnonym (name of an ethnic group) applies.
-
D.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
E.
ethnonymStatus
Indicates the status or role of an ethnonym (a name for an ethnic group) in relation to a group, such as whether it is current, historical, preferred, or deprecated.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f26f0c81908f0ee76b955e9806 |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 7:39 a.m.