Triple
T859710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Om |
E18571
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Vedic chanting |
E19932
|
NE 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: Vedic chanting | Statement: [Om, usedIn, Vedic chanting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vedic chanting Context triple: [Om, usedIn, Vedic chanting]
-
A.
Zema chant tradition
The Zema chant tradition is the ancient liturgical music of the Ethiopian Christian church, characterized by its distinctive modal system, complex vocal melodies, and deep integration with the Ethiopian Rite’s worship and ritual practices.
-
B.
Samaveda
chosen
Samaveda is one of the four Vedas of ancient Indian scripture, primarily consisting of melodies and chants used in Vedic rituals and early Hindu liturgy.
-
C.
Vedas
The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
-
D.
Byzantine chant
Byzantine chant is the monophonic, modal liturgical music of the Eastern Orthodox Church and other churches following the Byzantine tradition.
-
E.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c3d2fc8190b9f76d31528feeb6 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.