Triple
T22992495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatha Mandir |
E572088
|
entity |
| Predicate | hasPrimaryDeity |
P7648
|
FINISHED |
| Object | Rukmini |
—
|
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: Rukmini | Statement: [Gatha Mandir, hasPrimaryDeity, Rukmini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rukmini Context triple: [Gatha Mandir, hasPrimaryDeity, Rukmini]
-
A.
Rukmini
chosen
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.
-
B.
Mangalambika
Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
-
C.
Chitrangada
Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
-
D.
Vishnupriya
Vishnupriya was the second wife of the 16th-century Bengali saint and Vaishnava reformer Chaitanya Mahaprabhu, revered in Gaudiya Vaishnavism for her devotion and renunciation.
-
E.
Rajlakshmi
Rajlakshmi is a central female character in Sarat Chandra Chattopadhyay’s Bengali novel "Srikanta," known for her complex, independent, and emotionally intense relationship with the protagonist.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.