Triple
T26013408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caño Cristales |
E646959
|
entity |
| Predicate | colorVariationDependsOn |
P126080
|
FINISHED |
| Object | water level |
—
|
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: water level | Statement: [Caño Cristales, colorVariationDependsOn, water level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorVariationDependsOn Context triple: [Caño Cristales, colorVariationDependsOn, water level]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
colorDependsOn
Indicates that the color of one entity is determined or influenced by the color or properties of another entity.
-
C.
usesNaturalColorVariations
Indicates that an entity employs naturally occurring differences in color, rather than artificial or uniform coloring, as part of its appearance or design.
-
D.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
-
E.
attributeVariesBy
chosen
Indicates that a particular attribute can take on different values depending on another variable, context, or condition.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 9:02 a.m.