Triple
T4895155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commandant-General of the South African Republic |
E109657
|
entity |
| Predicate | officeHolderTitleLanguage |
P3342
|
FINISHED |
| Object | Afrikaans |
—
|
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: Afrikaans | Statement: [Commandant-General of the South African Republic, officeHolderTitleLanguage, Afrikaans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleLanguage Context triple: [Commandant-General of the South African Republic, officeHolderTitleLanguage, Afrikaans]
-
A.
officialLanguageOfTitle
Indicates that a specified language is the officially designated language associated with a particular title or position.
-
B.
officeHolderTitleInLatin
Indicates that the specified office holder’s title is expressed in its Latin-language form.
-
C.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or role.
-
D.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
-
E.
officeHolderTitleInPortuguese
Indicates the official title or designation of an office holder as expressed in the Portuguese 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.