Triple
T18131861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Falls |
E434031
|
entity |
| Predicate | colorVariationCause |
P23298
|
FINISHED |
| Object | mineral deposits in water |
—
|
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: mineral deposits in water | Statement: [Diamond Falls, colorVariationCause, mineral deposits in water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorVariationCause Context triple: [Diamond Falls, colorVariationCause, mineral deposits in water]
-
A.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
B.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option 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.
attributeVariesBy
Indicates that a particular attribute can take on different values depending on another variable, context, or condition.
-
E.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.