Triple
T7430309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deer Park, Sarnath |
E171471
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ganges River |
E4044
|
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: Ganges River | Statement: [Deer Park, Sarnath, near, Ganges River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganges River Context triple: [Deer Park, Sarnath, near, Ganges River]
-
A.
Ganges
chosen
The Ganges is a major river in northern India that is considered sacred in Hinduism and supports hundreds of millions of people along its basin.
-
B.
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.
-
C.
Namami Gange
Namami Gange is an Indian government flagship initiative aimed at cleaning, rejuvenating, and protecting the Ganges River and its ecosystem.
-
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.
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.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f32324c481908c9ba594e8456728 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98f54f0908190afec4f26e96d8173 |
completed | March 29, 2026, 8:45 p.m. |
Created at: March 27, 2026, 3:12 p.m.