Triple
T28298931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nella Fantasia |
E713649
|
entity |
| Predicate | countryOfOriginOfLyrics |
P67555
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [Nella Fantasia, countryOfOriginOfLyrics, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfLyrics Context triple: [Nella Fantasia, countryOfOriginOfLyrics, Italy]
-
A.
originCountryOfSong
chosen
Indicates the country from which a song originally comes or was first created or released.
-
B.
countryOfLyricist
Indicates the country with which a lyricist is associated, typically by nationality, origin, or primary residence.
-
C.
originalLanguageOfSourceSong
Indicates that a given language is the original language in which a particular source song was created or first written.
-
D.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
E.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 27, 2026, 11:34 p.m.