Triple
T21024105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakali |
E517890
|
entity |
| Predicate | worshippedAs |
P8132
|
FINISHED |
| Object | Parashakti |
—
|
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: Parashakti | Statement: [Mahakali, worshippedAs, Parashakti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parashakti Context triple: [Mahakali, worshippedAs, Parashakti]
-
A.
Adi Parashakti
chosen
Adi Parashakti is the supreme, primordial goddess in Hinduism, revered as the ultimate reality and source of all other deities and creation.
-
B.
Parasakthi
Parasakthi is a landmark 1952 Tamil film, noted for its powerful dialogues and social themes, which launched Sivaji Ganesan to stardom.
-
C.
Durga Bhagwati
Durga Bhagwati is a town located in Nepal's Madhesh Province.
-
D.
Goddess Durga
Goddess Durga is a principal Hindu deity revered as a fierce yet protective mother goddess who embodies divine strength, righteousness, and the destruction of evil.
-
E.
Durga
Durga is a central character in Bibhutibhushan Bandyopadhyay’s novel and Satyajit Ray’s film adaptation "Pather Panchali," depicted as a spirited, mischievous young girl growing up in rural Bengal.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5f5bcc8190ab5fcc467703f0ef |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.