Triple
T24314102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venda language |
E612754
|
entity |
| Predicate | primaryRegionInSouthAfrica |
P58741
|
FINISHED |
| Object | Limpopo province |
—
|
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: Limpopo province | Statement: [Venda language, primaryRegionInSouthAfrica, Limpopo province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionInSouthAfrica Context triple: [Venda language, primaryRegionInSouthAfrica, Limpopo province]
-
A.
regionTypeSouth
Indicates that one region is classified as being in the southern part or of a southern type relative to a larger geographic or conceptual area.
-
B.
primaryRegionDepicted
Indicates that a resource primarily depicts or visually represents a particular geographic or spatial region as its main subject.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
subnationalRegion
Indicates that one region is a subdivision or administrative part of a larger nation or country.
-
E.
originSubregion
chosen
Indicates the specific subregional area from which an entity originates or is derived.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a6377081909bf7fe66a8719d32 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:45 a.m.