Triple
T36139401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanson d’Amour |
E1045250
|
entity |
| Predicate | countryOfPopularSuccess |
—
|
GENERATED |
| Object | United Kingdom |
—
|
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: countryOfPopularSuccess Context triple: [Chanson d’Amour, countryOfPopularSuccess, United Kingdom]
-
A.
countryOfNotableSuccess
Indicates the country in which an entity achieved notable success or recognition.
-
B.
countryOfPopularPerformance
chosen
Indicates the country where a performance, work, or activity is especially popular or widely received.
-
C.
achievedPopularityVia
Indicates that an entity gained recognition or widespread acceptance through a particular method, channel, or means.
-
D.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
E.
countryFollowedBy
Indicates that one country comes directly after another in a specified sequence or ordering (such as time, ranking, or listing).
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.