Triple
T38535658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coloured (South African term) |
E923489
|
entity |
| Predicate | alternativeFraming |
P18099
|
FINISHED |
| Object | mixed-race identity in South Africa |
—
|
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: mixed-race identity in South Africa | Statement: [Coloured (South African term), alternativeFraming, mixed-race identity in South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeFraming Context triple: [Coloured (South African term), alternativeFraming, mixed-race identity in South Africa]
-
A.
alternativeFlag
Indicates that something is marked or designated as an alternative option or variant relative to a primary or default choice.
-
B.
alternativeForm
chosen
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
C.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
-
D.
alternativeBenefit
Indicates that one benefit serves as a substitute or replacement for another possible benefit in a given context.
-
E.
alternativeOutcomeTo
Indicates that one outcome serves as a different possible result or scenario in place of another outcome.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.