Triple
T5954047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Bless Our Homeland Ghana |
E132467
|
entity |
| Predicate | lyricsExpress |
P25938
|
FINISHED |
| Object | plea for God’s blessing on Ghana |
—
|
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: plea for God’s blessing on Ghana | Statement: [God Bless Our Homeland Ghana, lyricsExpress, plea for God’s blessing on Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsExpress Context triple: [God Bless Our Homeland Ghana, lyricsExpress, plea for God’s blessing on Ghana]
-
A.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
B.
lyricFocus
chosen
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
C.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
-
D.
lyricalPhrase
Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
-
E.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.