Triple
T13843618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazinga Channel |
E332731
|
entity |
| Predicate | mainEconomicImportance |
P54269
|
FINISHED |
| Object | tourism |
—
|
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: tourism | Statement: [Kazinga Channel, mainEconomicImportance, tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEconomicImportance Context triple: [Kazinga Channel, mainEconomicImportance, tourism]
-
A.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
B.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
C.
hasMainEconomicUse
chosen
Indicates that something serves as the primary or principal economic function, purpose, or use of another entity.
-
D.
economicSectorSourceOfWealth
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
E.
economicExtensionOf
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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.