Triple
T22104535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttarkashi |
E546251
|
entity |
| Predicate | nearestMajorCity |
P1982
|
FINISHED |
| Object | Rishikesh |
—
|
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: Rishikesh | Statement: [Uttarkashi, nearestMajorCity, Rishikesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rishikesh Context triple: [Uttarkashi, nearestMajorCity, Rishikesh]
-
A.
Rishikesh
chosen
Rishikesh is a renowned town in the Indian state of Uttarakhand, famous as a center for yoga, meditation, and spiritual tourism along the banks of the Ganges River.
-
B.
Haridwar
Haridwar is a major pilgrimage city in the Indian state of Uttarakhand, revered as one of Hinduism’s holiest sites and a key gateway to the Himalayas.
-
C.
Mussoorie
Mussoorie is a popular hill station in the Indian state of Uttarakhand, known for its scenic Himalayan views, colonial-era architecture, and role as a major educational and administrative training hub.
-
D.
Nainital
Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
-
E.
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.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.