Triple
T28062961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciskei |
E709163
|
entity |
| Predicate | primaryEconomicDependence |
P70248
|
FINISHED |
| Object | South Africa |
—
|
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: South Africa | Statement: [Ciskei, primaryEconomicDependence, South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEconomicDependence Context triple: [Ciskei, primaryEconomicDependence, South Africa]
-
A.
hasEconomicRelianceOn
Indicates that one entity depends on another for financial support, resources, or economic stability.
-
B.
primaryEconomicPhase
Indicates the main or dominant stage of economic development or activity that characterizes an entity during a given period.
-
C.
primaryEconomicHinterland
Indicates that one place serves as the main surrounding area that economically supports, supplies, or is influenced by another place.
-
D.
agriculturalDependence
Indicates that one entity relies on another for agricultural resources, production, or support.
-
E.
economicExtensionOf
chosen
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: April 27, 2026, 8:41 p.m.