Triple
T12615387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmada Devi |
E301236
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Narmada Mata |
E9755
|
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: Narmada Mata | Statement: [Narmada Devi, epithet, Narmada Mata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narmada Mata Context triple: [Narmada Devi, epithet, Narmada Mata]
-
A.
Saraswati
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
-
B.
Ramavati
Ramavati was a principal urban center that served as the capital city of the medieval Pala Empire in the Indian subcontinent.
-
C.
Noopura Ganga
Noopura Ganga is a sacred temple tank and holy water source associated with the Alagar Kovil temple near Madurai in Tamil Nadu, India.
-
D.
Iravati
Iravati is the ancient name of the Ravi River, one of the five major rivers of the Punjab region in South Asia.
-
E.
Narmada
chosen
Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
- 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_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:12 p.m.