Triple
T1384464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allahabad |
E29812
|
entity |
| Predicate | locatedAtConfluenceOf |
P11842
|
FINISHED |
| Object | Saraswati |
E167179
|
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: [Allahabad, locatedAtConfluenceOf, Saraswati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraswati Context triple: [Allahabad, locatedAtConfluenceOf, Saraswati]
-
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.
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.
-
C.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
-
D.
Sarayu
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
-
E.
Satadru
Satadru is an ancient name for the Sutlej River, one of the major rivers of the northwestern Indian subcontinent and a key tributary of the Indus system.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33896548190b44f70c9aaaed9b6 |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef06424f48190bf3604cc342992b6 |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:59 p.m.