Triple
T30381382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodbye My Love, Goodbye |
E772839
|
entity |
| Predicate | countryOfSuccess |
P106516
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Goodbye My Love, Goodbye, countryOfSuccess, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSuccess Context triple: [Goodbye My Love, Goodbye, countryOfSuccess, international]
-
A.
countryOfNotableSuccess
chosen
Indicates the country in which an entity achieved notable success or recognition.
-
B.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
C.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
D.
nationalityOfWinner
Indicates the country or nationality associated with the winner of a given event or competition.
-
E.
creationCountry
Indicates the country in which an entity was originally created, produced, or brought into existence.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: April 29, 2026, 8 p.m.