Triple
T5666668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Stem van Suid-Afrika |
E124872
|
entity |
| Predicate | firstLineAfrikaans |
P65634
|
FINISHED |
| Object | Uit die blou van onse hemel |
—
|
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: Uit die blou van onse hemel | Statement: [Die Stem van Suid-Afrika, firstLineAfrikaans, Uit die blou van onse hemel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineAfrikaans Context triple: [Die Stem van Suid-Afrika, firstLineAfrikaans, Uit die blou van onse hemel]
-
A.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
-
B.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
C.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
D.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
E.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0236af5308190b3d698eadf7bcd2b |
completed | March 22, 2026, 5:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.