Triple
T17548516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhwal Himalaya |
E427391
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dayara Bugyal |
—
|
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: Dayara Bugyal | Statement: [Garhwal Himalaya, contains, Dayara Bugyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayara Bugyal Context triple: [Garhwal Himalaya, contains, Dayara Bugyal]
-
A.
Chikhaldara
Chikhaldara is a hill station in Maharashtra, India, known for its cool climate, coffee plantations, and scenic views of the surrounding Satpura ranges.
-
B.
Chopta
chosen
Chopta is a scenic hill station and trekking base in Uttarakhand, India, known for its lush meadows, views of snow-clad Himalayan peaks, and access to the Tungnath–Chandrashila trek.
-
C.
Mahadev Dighi
Mahadev Dighi is a notable lake in Udaipur, Tripura, known locally for its scenic and cultural significance.
-
D.
Chaderghat
Chaderghat is a locality in Hyderabad, India, known as a major commercial and transit hub along the Musi River.
-
E.
Nahargarh Fort
Nahargarh Fort is a historic hilltop fortress overlooking Jaipur, India, known for its defensive architecture, panoramic city views, and role in the region’s royal history.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.