Triple
T25749541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Zimbabweans |
E648436
|
entity |
| Predicate | formerDemonym |
P178751
|
FINISHED |
| Object | Rhodesians |
—
|
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: Rhodesians | Statement: [White Zimbabweans, formerDemonym, Rhodesians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerDemonym Context triple: [White Zimbabweans, formerDemonym, Rhodesians]
-
A.
relatedDemonym
Indicates that one entity is the demonym (name for residents or natives) associated with the other entity.
-
B.
usesDemonymForm
Indicates that one entity refers to another using a demonym form, i.e., a name derived from the inhabitants or nationality associated with that entity.
-
C.
hasDemonym
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
D.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
E.
formerPupilsDemonym
Indicates that the subject is a demonym referring to people who were formerly pupils (students) of the object entity.
- F. None of above. chosen
Provenance (4 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 22, 2026, 4:33 a.m.