Triple
T12615386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmada Devi |
E301236
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Reva Mata |
E537479
|
NE FINISHED |
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: Reva Mata | Statement: [Narmada Devi, epithet, Reva Mata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reva Mata Context triple: [Narmada Devi, epithet, Reva Mata]
-
A.
Mata Bhani
Mata Bhani was a revered Sikh figure best known as the mother of Guru Arjan, the fifth Sikh Guru.
-
B.
Gajanana
Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
-
C.
Jeen Mata
Jeen Mata is a Hindu goddess venerated primarily in Rajasthan, India, where she is revered as a powerful local deity and protector.
-
D.
Mallishwari
Mallishwari is a 2004 Telugu romantic comedy film starring Venkatesh and Katrina Kaif, noted for its entertaining blend of humor, romance, and music.
-
E.
Renuka
chosen
Renuka is a revered figure in Hindu mythology, best known as the virtuous wife of sage Jamadagni and mother of the warrior-sage Parashurama.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c4f5b48190af76414ef678ba7c |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686b9d088190832d1f244e7aa924 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:12 p.m.