Triple
T21718291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilaspuri language |
E536087
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Bilaspuri Pahari |
—
|
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: Bilaspuri Pahari | Statement: [Bilaspuri language, hasAlternativeName, Bilaspuri Pahari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilaspuri Pahari Context triple: [Bilaspuri language, hasAlternativeName, Bilaspuri Pahari]
-
A.
Kahluri Pahari
chosen
Kahluri Pahari is an Indo-Aryan language variety spoken primarily in and around the Bilaspur region of Himachal Pradesh, India.
-
B.
Kinnaur
Kinnaur is a mountainous district in the Indian state of Himachal Pradesh, known for its dramatic Himalayan landscapes, apple orchards, and rich blend of Hindu and Buddhist culture.
-
C.
Baijnath
Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
-
D.
Jaunsari Pahari
Jaunsari Pahari is an Indo-Aryan language spoken primarily by the Jaunsari people in the Jaunsar-Bawar region of Uttarakhand, India.
-
E.
Kangri Pahari
Kangri Pahari is an Indo-Aryan language variety spoken primarily in the Kangra region of Himachal Pradesh in northern India.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.