Triple
T10612846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagat Satta and Balwand |
E276047
|
entity |
| Predicate | hasHymnsInSection |
P63157
|
FINISHED |
| Object | Rag Ramkali of Guru Granth Sahib |
—
|
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: Rag Ramkali of Guru Granth Sahib | Statement: [Bhagat Satta and Balwand, hasHymnsInSection, Rag Ramkali of Guru Granth Sahib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHymnsInSection Context triple: [Bhagat Satta and Balwand, hasHymnsInSection, Rag Ramkali of Guru Granth Sahib]
-
A.
hasCanticle
chosen
Indicates that an entity is associated with, contains, or is characterized by a specific canticle (a hymn or song of praise).
-
B.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
C.
hymnNumber
Indicates the specific numerical designation assigned to a hymn within a hymnal or song collection.
-
D.
hasVersesIn
Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
-
E.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5baf94819097b14a73af058f35 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.