Triple
T8237094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poplars, Sunlight Effect |
E192436
|
entity |
| Predicate | hasGeneralTheme |
P62774
|
FINISHED |
| Object | nature |
—
|
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: nature | Statement: [Poplars, Sunlight Effect, hasGeneralTheme, nature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeneralTheme Context triple: [Poplars, Sunlight Effect, hasGeneralTheme, nature]
-
A.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
B.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
C.
hasThemeInStory
Indicates that a particular theme is present or plays a significant role within a given story.
-
D.
hasThemeType
chosen
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783929c081909db1182947755bae |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.