Triple
T17548497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhwal Himalaya |
E427391
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Joshimath |
—
|
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: Joshimath | Statement: [Garhwal Himalaya, contains, Joshimath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshimath Context triple: [Garhwal Himalaya, contains, Joshimath]
-
A.
Joshimath
chosen
Joshimath is a Himalayan town in Uttarakhand, India, known as a gateway to pilgrimage sites like Badrinath and to trekking and skiing destinations such as Auli.
-
B.
Shaktinagar
Shaktinagar is a township in Uttar Pradesh, India, known for its power plants and associated industrial and mining activities.
-
C.
Kashipur
Kashipur is a town in the Udham Singh Nagar district of Uttarakhand, India, known as an important industrial and commercial center in the region.
-
D.
Narkanda
Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
-
E.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern 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_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.