Triple
T15220667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–Venezuela border region |
E363756
|
entity |
| Predicate | economicallyImportant |
P74963
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Colombia–Venezuela border region, economicallyImportant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicallyImportant Context triple: [Colombia–Venezuela border region, economicallyImportant, true]
-
A.
hasCommercialImportance
chosen
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
B.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
-
C.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
D.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
E.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.