Triple
T21452298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandakini River |
E529240
|
entity |
| Predicate | nearbyVillage |
P4647
|
FINISHED |
| Object | Gaurikund |
—
|
NE NERFINISHED |
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: Gaurikund | Statement: [Mandakini River, nearbyVillage, Gaurikund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaurikund Context triple: [Mandakini River, nearbyVillage, Gaurikund]
-
A.
Gaurikund
chosen
Gaurikund is a small pilgrimage town in Uttarakhand, India, serving as the traditional base and starting point for the trek to the Himalayan shrine of Kedarnath.
-
B.
Bhadaiya Kund
Bhadaiya Kund is a natural water reservoir and scenic spot in Madhya Pradesh, India, known for its tranquil surroundings and appeal as a local picnic and pilgrimage destination.
-
C.
Kalpeshwar
Kalpeshwar is a remote Hindu temple in the Garhwal Himalaya of Uttarakhand, India, revered as one of the Panch Kedar shrines dedicated to Lord Shiva.
-
D.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
E.
Rudrapur
Rudrapur is a rapidly developing industrial and commercial city in the Udham Singh Nagar district of Uttarakhand, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d426d88190ae87ae9fac9c30a0 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.