Triple
T26013291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River of Five Colors |
E646957
|
entity |
| Predicate | colorEffectDependsOn |
P159114
|
FINISHED |
| Object | sunlight intensity |
—
|
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: sunlight intensity | Statement: [River of Five Colors, colorEffectDependsOn, sunlight intensity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorEffectDependsOn Context triple: [River of Five Colors, colorEffectDependsOn, sunlight intensity]
-
A.
colorDependsOn
Indicates that the color of one entity is determined or influenced by the color or properties of another entity.
-
B.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
C.
lightingDependsOn
Indicates that the state or behavior of lighting is determined or influenced by another specified factor or condition.
-
D.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
E.
colorBehavior
chosen
Indicates how an entity’s color changes, appears, or is used under certain conditions or interactions.
- 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_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 9:02 a.m.