Triple
T20777151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sati |
E511382
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Dakshayani |
—
|
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: Dakshayani | Statement: [Sati, epithet, Dakshayani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakshayani Context triple: [Sati, epithet, Dakshayani]
-
A.
Dakshayani
chosen
Dakshayani is another name for the Hindu goddess Sati, the first consort of Lord Shiva and daughter of Daksha.
-
B.
Visalakshi
Visalakshi is a revered form of the Hindu goddess Parvati worshipped as the divine consort of Lord Shiva at the Kasi Viswanathar Temple in Kumbakonam.
-
C.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
D.
Jayanti
Jayanti is a scenic forest village and popular eco-tourism spot in West Bengal’s Dooars region, known for its riverside views and proximity to rich wildlife habitats.
-
E.
Surabhi
Surabhi is a divine cow-goddess in Hindu mythology, revered as the mother of cattle and a symbol of abundance and nourishment.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26bbe108190bb7c3e5b416e44fe |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.