Triple
T19637873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawalamukhi |
E471448
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Kangra |
—
|
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: Kangra | Statement: [Jawalamukhi, hasNearbyCity, Kangra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangra Context triple: [Jawalamukhi, hasNearbyCity, Kangra]
-
A.
Kangra
chosen
Kangra is a historic town in the Indian state of Himachal Pradesh, known for its ancient temples, forts, and scenic location in the Himalayan foothills.
-
B.
Kangra Valley
Kangra Valley is a picturesque valley in the Indian state of Himachal Pradesh, renowned for its lush landscapes, tea gardens, and views of the Dhauladhar mountain range.
-
C.
Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
-
D.
Nurpur
Nurpur is a historic town in the Kangra district of Himachal Pradesh, India, known for its ancient fort and temples amid scenic Himalayan foothills.
-
E.
Dharamkot
Dharamkot is a small hill village near McLeod Ganj in Himachal Pradesh, India, known for its scenic views, laid-back backpacker vibe, and access to popular Himalayan trekking routes.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64107f3fc8190ace6ae67287d280c |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.