Triple
T33236264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maithil community |
E850835
|
entity |
| Predicate | weddingSongTradition |
P526
|
FINISHED |
| Object | Suhag geet |
—
|
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: Suhag geet | Statement: [Maithil community, weddingSongTradition, Suhag geet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingSongTradition Context triple: [Maithil community, weddingSongTradition, Suhag geet]
-
A.
traditionallySungAfter
Indicates that one song or musical piece is customarily performed immediately following another in a cultural or traditional sequence.
-
B.
musicTradition
chosen
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
C.
BridalChorusAlsoKnownAs
Indicates that one musical work is also known by the alternative title "Bridal Chorus."
-
D.
basedInGenreTradition
Indicates that something (such as a work or practice) is grounded in, follows, or is shaped by the conventions and traditions of a particular genre.
-
E.
languageTraditions
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.