Triple
T14009127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Hindi |
E337030
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Haryanvi |
E148853
|
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: Haryanvi | Statement: [Western Hindi, hasDialect, Haryanvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haryanvi Context triple: [Western Hindi, hasDialect, Haryanvi]
-
A.
Haryanvi
chosen
Haryanvi is an Indo-Aryan language and dialect of Hindi spoken primarily in the Indian state of Haryana and surrounding regions, known for its distinct phonology, vocabulary, and rustic cultural associations.
-
B.
Haryana
Haryana is a northern Indian state known for its significant agricultural output, rapid industrial growth, and proximity to the national capital, New Delhi.
-
C.
Panjab
Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
-
D.
Himachal Pradesh
Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
-
E.
Sirmauri
Sirmauri is a regional Indo-Aryan language variety spoken in parts of Himachal Pradesh, India, often considered one of the Western Pahari dialects.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb653fedc81908cdd0dde2d3f3329 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.