Triple
T14130372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapkeshwar Temple |
E340147
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Doon Valley |
E338664
|
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: Doon Valley | Statement: [Tapkeshwar Temple, locatedInRegion, Doon Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doon Valley Context triple: [Tapkeshwar Temple, locatedInRegion, Doon Valley]
-
A.
Doon Valley
chosen
Doon Valley is a picturesque valley in the Himalayan foothills of northern India, known for its scenic landscapes, pleasant climate, and the city of Dehradun at its center.
-
B.
Doon
Doon is a small city in Lyon County in northwestern Iowa, United States.
-
C.
Parun Valley
Parun Valley is a remote mountainous valley in eastern Afghanistan’s Nuristan region, known as the homeland of the Prasun-speaking Nuristani people.
-
D.
Barot Valley
Barot Valley is a scenic, lesser-known Himalayan valley in Himachal Pradesh, India, popular for its tranquil landscapes, trekking, and trout fishing.
-
E.
Parvati Valley
Parvati Valley is a scenic Himalayan valley in Himachal Pradesh, India, renowned for its trekking routes, hot springs, and spiritual and backpacker culture.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf10e3948190b21968bc39094a8e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:23 p.m.