Triple
T9208006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poplars, Golden Light |
E221036
|
entity |
| Predicate | depictsAtmosphericConditions |
P26038
|
FINISHED |
| Object | changing light |
—
|
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: changing light | Statement: [Poplars, Golden Light, depictsAtmosphericConditions, changing light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAtmosphericConditions Context triple: [Poplars, Golden Light, depictsAtmosphericConditions, changing light]
-
A.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
B.
skyConditionAdvantage
Indicates that certain sky or weather conditions provide a beneficial effect or favorable advantage to an entity or activity.
-
C.
hasAtmosphericFeature
chosen
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
D.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
E.
allWeatherSurface
Indicates that a surface is designed or suitable for use under all weather conditions without significant loss of functionality.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.