Triple
T31310979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa Vetus |
E798460
|
entity |
| Predicate | usedAsTerm |
P137294
|
FINISHED |
| Object | to distinguish it from Africa Nova |
—
|
NE NERFINISHED |
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: to distinguish it from Africa Nova | Statement: [Africa Vetus, usedAsTerm, to distinguish it from Africa Nova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsTerm Context triple: [Africa Vetus, usedAsTerm, to distinguish it from Africa Nova]
-
A.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
B.
useOfTerm
chosen
Indicates that one entity employs or applies a specific term or expression in reference to another entity or context.
-
C.
usedAsAdjective
Indicates that one entity is functioning grammatically as an adjective modifying another entity.
-
D.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
E.
usedAsStandard
Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 9:15 p.m.