Triple
T26751664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobsled Coaster |
E674555
|
entity |
| Predicate | hasThemeInspiration |
P61406
|
FINISHED |
| Object | winter sports |
—
|
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: winter sports | Statement: [Bobsled Coaster, hasThemeInspiration, winter sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeInspiration Context triple: [Bobsled Coaster, hasThemeInspiration, winter sports]
-
A.
themeInspiration
chosen
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
B.
hasInspirationSource
Indicates that something derives its creative motivation, ideas, or influence from a particular source.
-
C.
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.
-
D.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
E.
influencesThemeOf
Indicates that one entity affects, shapes, or contributes to the thematic content or underlying message of another entity.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 3:53 a.m.