Triple
T247236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himalayas |
E5063
|
entity |
| Predicate | sourceOf |
P409
|
FINISHED |
| Object | Yamuna River |
E6360
|
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: Yamuna River | Statement: [Himalayas, sourceOf, Yamuna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamuna River Context triple: [Himalayas, sourceOf, Yamuna River]
-
A.
Yamuna
chosen
Yamuna is a major sacred river of northern India, flowing through cities like Delhi and Agra and serving as a key tributary of the Ganges.
-
B.
Sabarmati River
The Sabarmati River is a major river in western India that flows through the city of Ahmedabad in Gujarat and holds significant historical importance due to its association with Mahatma Gandhi and the Indian independence movement.
-
C.
Narmada
Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
-
D.
Namami Gange
Namami Gange is an Indian government flagship initiative aimed at cleaning, rejuvenating, and protecting the Ganges River and its ecosystem.
-
E.
Saraswati
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a399a2991c8190a3f79aa899720a7c |
completed | March 1, 2026, 1:42 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.