Triple
T22591165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu pantheon |
E564951
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Kaveri |
—
|
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: Kaveri | Statement: [Hindu pantheon, hasDeity, Kaveri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaveri Context triple: [Hindu pantheon, hasDeity, Kaveri]
-
A.
Kaveri
chosen
Kaveri is a major river in southern India, revered for its cultural significance and vital role in irrigation, agriculture, and hydroelectric power across the states of Karnataka and Tamil Nadu.
-
B.
Sharavathi
Sharavathi is a major river in the Indian state of Karnataka, renowned for forming the Jog Falls, one of the highest plunge waterfalls in India.
-
C.
Arkavathi
Arkavathi is a river in the Indian state of Karnataka that flows through the Bangalore region before joining the Kaveri.
-
D.
Amravati
Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
-
E.
Bharathapuzha
Bharathapuzha is one of the longest and most culturally significant rivers in the Indian state of Kerala, often associated with the region’s literary and spiritual heritage.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16160651081909d23735336fd7a16 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:48 p.m.