Triple
T22146986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightingale of India |
E547310
|
entity |
| Predicate | associatedLanguageOfSongs |
P11404
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Nightingale of India, associatedLanguageOfSongs, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLanguageOfSongs Context triple: [Nightingale of India, associatedLanguageOfSongs, Hindi]
-
A.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
B.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
C.
lyricsLanguage
chosen
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
D.
lyricsLanguageFamily
Indicates that the language of the lyrics belongs to a specified language family (e.g., Romance, Germanic, Slavic).
-
E.
languageOfMusicalTerms
Indicates the language in which specific musical terms are expressed or defined.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f156988190bc9a24a37418e849 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.