Triple
T409315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orinoco Basin headwaters |
E9451
|
entity |
| Predicate | countryBorderContext |
P4999
|
FINISHED |
| Object | span the Colombia–Venezuela border region |
—
|
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: span the Colombia–Venezuela border region | Statement: [Orinoco Basin headwaters, countryBorderContext, span the Colombia–Venezuela border region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorderContext Context triple: [Orinoco Basin headwaters, countryBorderContext, span the Colombia–Venezuela border region]
-
A.
countryBordering
chosen
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
borderedByContinent
Indicates that one entity has a land or maritime boundary directly adjacent to the specified continent.
-
E.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.