Triple
T22395025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bipin Rawat |
E553606
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Pauri, Uttarakhand, India |
—
|
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: Pauri, Uttarakhand, India | Statement: [Bipin Rawat, placeOfBirth, Pauri, Uttarakhand, India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauri, Uttarakhand, India Context triple: [Bipin Rawat, placeOfBirth, Pauri, Uttarakhand, India]
-
A.
Pauri
chosen
Pauri is a hill town and administrative headquarters in the Garhwal region of Uttarakhand, India, known for its panoramic Himalayan views and serene environment.
-
B.
Pantnagar
Pantnagar is an industrial and educational hub in Uttarakhand, India, known for its large industrial estate and the Govind Ballabh Pant University of Agriculture and Technology.
-
C.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
D.
Rudrapur
Rudrapur is a rapidly developing industrial and commercial city in the Udham Singh Nagar district of Uttarakhand, India.
-
E.
Kasauli
Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.