Triple
T3849137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burushaski |
E85247
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Hunza Valley |
E55867
|
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: Hunza Valley | Statement: [Burushaski, spokenIn, Hunza Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunza Valley Context triple: [Burushaski, spokenIn, Hunza Valley]
-
A.
Hunza Valley
chosen
Hunza Valley is a picturesque mountainous valley in northern Pakistan renowned for its dramatic Karakoram peaks, terraced fields, and traditionally long-lived local communities.
-
B.
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.
-
C.
Ghizer Valley
Ghizer Valley is a scenic mountainous valley in Pakistan’s Gilgit-Baltistan region, known for its rivers, lakes, and trekking routes along the ancient Silk Road corridor.
-
D.
Rana valley
Rana valley is a river valley in the Mo i Rana area of northern Norway, known for its rugged landscapes and surrounding mountains.
-
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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcde86081908cf3840ae002acfa |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122eb2708190b1aa9da233481015 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.