Triple
T19204797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahagauri |
E480203
|
entity |
| Predicate | otherName |
P39
|
FINISHED |
| Object | Mahāgaurī |
—
|
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: Mahāgaurī | Statement: [Mahagauri, otherName, Mahāgaurī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahāgaurī Context triple: [Mahagauri, otherName, Mahāgaurī]
-
A.
Mahagauri
chosen
Mahagauri is one of the nine forms of the Hindu goddess Durga, revered for her radiant purity and benevolence, often depicted in white and associated with peace and the fulfillment of devotees’ wishes.
-
B.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
-
C.
Bivabati Devi
Bivabati Devi was an Indian writer and social worker known for her contributions to Bengali literature and her role in the nationalist milieu surrounding the Bose family.
-
D.
Chhathi Mata
Chhathi Mata is a Hindu goddess primarily worshipped in parts of North India and Nepal as the divine embodiment of the Sun’s power and protector of children and family well-being.
-
E.
Durga Bhagwati
Durga Bhagwati is a town located in Nepal's Madhesh Province.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:17 p.m.