Triple
T9195733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagirathi River |
E220701
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Devprayag |
E783684
|
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: Devprayag | Statement: [Bhagirathi River, mouthLocation, Devprayag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devprayag Context triple: [Bhagirathi River, mouthLocation, Devprayag]
-
A.
Devprayag
chosen
Devprayag is a sacred town in Uttarakhand, India, revered as the place where the rivers Bhagirathi and Alaknanda merge to form the Ganges.
-
B.
Bhedaghat
Bhedaghat is a scenic town in Madhya Pradesh, India, famed for its dramatic marble rock gorges along the Narmada River and its popular waterfall viewpoints.
-
C.
Uttarkashi
Uttarkashi is a town in the Indian state of Uttarakhand, known as a gateway to several Himalayan pilgrim sites and trekking routes along the upper Ganges.
-
D.
Tapt Kund
Tapt Kund is a revered natural hot water spring near the Badrinath temple in Uttarakhand, India, where pilgrims customarily bathe before offering prayers.
-
E.
Bageshwar
Bageshwar is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its religious significance and scenic Himalayan surroundings.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87c3a3c8190b60f19873ef6e1f8 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d8f358819085dec73f25fd5746 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:25 p.m.