Triple
T2846569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi |
E62996
|
entity |
| Predicate | valleyName |
P650
|
FINISHED |
| Object | Chamba Valley |
E89580
|
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: Chamba Valley | Statement: [Ravi, valleyName, Chamba Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamba Valley Context triple: [Ravi, valleyName, Chamba Valley]
-
A.
Shigar Valley
Shigar Valley is a remote, high-altitude valley in Gilgit-Baltistan, Pakistan, known as a gateway to the Karakoram mountains and major trekking routes including those to K2.
-
B.
Chamba
chosen
Chamba is a historic town in the Indian state of Himachal Pradesh, known for its ancient temples, hill landscapes, and rich cultural heritage in the Himalayan region.
-
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.
Hunza Valley
Hunza Valley is a picturesque mountainous valley in northern Pakistan renowned for its dramatic Karakoram peaks, terraced fields, and traditionally long-lived local communities.
-
E.
Kaghan Valley
Kaghan Valley is a scenic alpine valley in northern Pakistan renowned for its lush landscapes, rivers, and popular hill stations that attract tourists year-round.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3ebbac819090e2bf98ed9fbd02 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8dbdff88190b6c46cfd6ef54bb8 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.