Triple
T34891677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy |
E1006302
|
entity |
| Predicate | featuredInCountry |
—
|
GENERATED |
| Object | American cinema |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInCountry Context triple: [Daisy, featuredInCountry, American cinema]
-
A.
listedInCountry
Indicates that an entity is officially recorded, registered, or included within the context or jurisdiction of a specified country.
-
B.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
D.
featuredIn
chosen
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
E.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
- F. None of above.
Provenance (1 batch)
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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.