Triple
T84849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrikaners |
E1706
|
entity |
| Predicate | legalStatusInSouthAfrica |
P2250
|
FINISHED |
| Object | recognized cultural community |
—
|
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: recognized cultural community | Statement: [Afrikaners, legalStatusInSouthAfrica, recognized cultural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInSouthAfrica Context triple: [Afrikaners, legalStatusInSouthAfrica, recognized cultural community]
-
A.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
legalStatusOfElectors
Indicates the legal standing, rights, and recognition granted to electors under applicable laws or regulations.
-
C.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
-
D.
legalBasis
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
E.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.