Triple
T37389286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrikaans literature |
E928657
|
entity |
| Predicate | hasImportantPeriod |
P16254
|
FINISHED |
| Object | apartheid-era literature |
—
|
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: apartheid-era literature | Statement: [Afrikaans literature, hasImportantPeriod, apartheid-era literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantPeriod Context triple: [Afrikaans literature, hasImportantPeriod, apartheid-era literature]
-
A.
notablePeriodOfInterest
Indicates a time span that is particularly significant or noteworthy in relation to the subject.
-
B.
timePeriodOfMajorImportance
chosen
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
C.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
D.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
E.
hasImportantSeason
Indicates that an entity experiences a particular season or time period that is especially significant or notable for it.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:16 p.m.