Triple
T25525059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaikasi Visakam |
E639751
|
entity |
| Predicate | associatedTextOrHymns |
P60491
|
FINISHED |
| Object | Tiruppugazh hymns to Murugan |
—
|
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: Tiruppugazh hymns to Murugan | Statement: [Vaikasi Visakam, associatedTextOrHymns, Tiruppugazh hymns to Murugan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTextOrHymns Context triple: [Vaikasi Visakam, associatedTextOrHymns, Tiruppugazh hymns to Murugan]
-
A.
associatedWithHymns
chosen
Indicates that something has a connection or relationship to hymns, such as being used in, derived from, or thematically linked to them.
-
B.
relatedChantOrSong
Indicates that one chant or song is associated with, derived from, or otherwise connected to another chant or song.
-
C.
hymnsDedicatedTo
Indicates that certain hymns are specifically devoted or addressed to a particular entity as their subject or object of veneration.
-
D.
hymnTuneName
Indicates the specific musical tune or melody name associated with a hymn.
-
E.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 21, 2026, 3:09 p.m.