Triple
T21245405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahesana district |
E523593
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Saraswati River |
—
|
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: Saraswati River | Statement: [Mahesana district, hasRiver, Saraswati River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraswati River Context triple: [Mahesana district, hasRiver, Saraswati River]
-
A.
Saraswati River
chosen
The Saraswati River is a legendary and partially identified ancient river of the Indian subcontinent, revered in Hindu tradition and Vedic texts as a sacred and life-giving waterway.
-
B.
Saraswati
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
-
C.
Saraswati
Saraswati is a village located in the Patan district of the Indian state of Gujarat.
-
D.
Mata Ganga
Mata Ganga was the wife of the fifth Sikh Guru, Guru Arjan Dev, and the mother of Guru Hargobind, playing a respected role in early Sikh history.
-
E.
Ganga
Ganga is a queen associated with the ancient Kuru dynasty in Indian epic tradition, often linked to the river goddess personified in the Mahabharata.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:47 p.m.