Triple
T5375639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sringeri Sharada Peetham |
E108952
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Saraswati |
E19478
|
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: Saraswati | Statement: [Sringeri Sharada Peetham, hasDeity, Saraswati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraswati Context triple: [Sringeri Sharada Peetham, hasDeity, Saraswati]
-
A.
Saraswati
chosen
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
-
B.
Saraswati River
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.
-
C.
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.
-
D.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
-
E.
Sarayu
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86aed2a8819089d9e699f53563db |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a548f8081909e347a1c7cd4e9fc |
completed | March 28, 2026, 12:01 a.m. |
Created at: March 20, 2026, 2:03 p.m.