Triple
T19776201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biraha folk genre |
E475007
|
entity |
| Predicate | lyricFeature |
P104602
|
FINISHED |
| Object | improvised verses |
—
|
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: improvised verses | Statement: [Biraha folk genre, lyricFeature, improvised verses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricFeature Context triple: [Biraha folk genre, lyricFeature, improvised verses]
-
A.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
B.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
C.
lyricFunction
Indicates the role or purpose that a set of lyrics serves within a musical work or performance.
-
D.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
-
E.
hasLyricsFeature
chosen
Indicates that something possesses a particular characteristic or attribute related to its lyrics.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65360cca08190957c36b1a440542c |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.