Triple
T18860747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaishno Mata |
E461304
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mata Rani |
—
|
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: Mata Rani | Statement: [Vaishno Mata, alsoKnownAs, Mata Rani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mata Rani Context triple: [Vaishno Mata, alsoKnownAs, Mata Rani]
-
A.
Mata Rani
chosen
Mata Rani is a revered Hindu mother goddess, widely worshipped as Vaishno Devi, whose shrine in the Trikuta Mountains near Katra is one of India’s most important pilgrimage destinations.
-
B.
Mangalambika
Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
-
C.
Rajasbai
Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
-
D.
Rukmini
Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
-
E.
Maharani
Maharani is a Sanskrit-derived royal title used in South Asia for a queen or the wife of a maharaja, often signifying a high-ranking female ruler or consort.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.