Triple
T10765980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Suburbs of Cape Town |
E253954
|
entity |
| Predicate | languageProfile |
P18209
|
FINISHED |
| Object | predominantly English-speaking with Afrikaans and isiXhosa communities |
—
|
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: predominantly English-speaking with Afrikaans and isiXhosa communities | Statement: [Southern Suburbs of Cape Town, languageProfile, predominantly English-speaking with Afrikaans and isiXhosa communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageProfile Context triple: [Southern Suburbs of Cape Town, languageProfile, predominantly English-speaking with Afrikaans and isiXhosa communities]
-
A.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
B.
languageAssociation
Indicates an association or relationship between entities based on a language they use, represent, or are linked to.
-
C.
languageDesigned
Indicates that one entity created or developed the language used or associated with another entity.
-
D.
languageUse
chosen
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
E.
languageCapacity
Indicates the extent to which an entity is able to understand, produce, or otherwise use language.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322d3a9c81909e58f6064643b814 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.