Triple
T7562835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanda Devi |
E178834
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Joshimath |
E422989
|
NE FINISHED |
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: [Nanda Devi, nearbyTown, Joshimath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshimath Context triple: [Nanda Devi, nearbyTown, 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.
Kathgodam
Kathgodam is a town in Uttarakhand, India, that serves as a key railhead and gateway to the Kumaon region and nearby hill stations.
-
C.
Rishikesh
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.
-
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.
Lakhisarai
Lakhisarai is a town and administrative district headquarters in the eastern Indian state of Bihar, known for its historical significance and role as a regional commercial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d42e988190a4b4982c0471d96d |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.