Triple
T17951644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditya |
E448844
|
entity |
| Predicate | describedIn |
P519
|
FINISHED |
| Object | Vedas |
—
|
NE NERFINISHED |
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: Vedas | Statement: [Aditya, describedIn, Vedas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vedas Context triple: [Aditya, describedIn, Vedas]
-
A.
Vedas
chosen
The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
-
B.
Rigveda
The Rigveda is the oldest of the four Vedas, a foundational collection of ancient Sanskrit hymns that form a core sacred text of Hinduism.
-
C.
Upanishads
The Upanishads are a collection of ancient Indian philosophical texts that explore the nature of ultimate reality (Brahman), the self (Atman), and the path to spiritual liberation, forming a foundational component of Hindu thought.
-
D.
Mulasutras
Mulasutras are foundational Jain canonical texts that outline core doctrines, ethical principles, and monastic disciplines within the Agama literature.
-
E.
Vālmīki
Vālmīki is the revered ancient Indian sage traditionally credited as the author of the Sanskrit epic Ramayana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afac95048190a5d1ef012899c62b |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.