Triple
T11015071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birir Valley |
E260342
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kalash valleys |
E55102
|
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: Kalash valleys | Statement: [Birir Valley, partOf, Kalash valleys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalash valleys Context triple: [Birir Valley, partOf, Kalash valleys]
-
A.
Kalash Valleys
chosen
The Kalash Valleys are a remote mountainous region in northern Pakistan known for their indigenous Kalash people, distinctive polytheistic culture, wooden architecture, and vibrant seasonal festivals.
-
B.
Nuristani Kalasha
Nuristani Kalasha is an Indo-Iranian language of the Nuristani branch spoken in parts of eastern Afghanistan.
-
C.
Kalasha
Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
-
D.
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.
-
E.
Betaab Valley
Betaab Valley is a picturesque, film-famous valley in Jammu and Kashmir, India, known for its lush meadows, clear streams, and surrounding snow-capped mountains.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.