Triple
T8420650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindko |
E198840
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Tanoli Hindko
Tanoli Hindko is a regional variety of the Hindko language traditionally spoken by members of the Tanoli community in parts of northern Pakistan.
|
E732286
|
NE FINISHED |
How this triple was built (4 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: Tanoli Hindko | Statement: [Hindko, hasDialect, Tanoli Hindko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanoli Hindko Context triple: [Hindko, hasDialect, Tanoli Hindko]
-
A.
Potohari Punjabi
Potohari Punjabi is a regional variety of the Punjabi language spoken primarily in Pakistan’s Potohar Plateau and surrounding northern Punjab areas.
-
B.
Doabi Punjabi
Doabi Punjabi is a regional variety of the Punjabi language spoken primarily in the Doaba region of the Indian state of Punjab.
-
C.
Malwai Punjabi
Malwai Punjabi is a regional variety of the Punjabi language spoken primarily in the Malwa region of the Indian state of Punjab.
-
D.
Lasi Sindhi
Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
-
E.
Bagheli
Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tanoli Hindko Triple: [Hindko, hasDialect, Tanoli Hindko]
Generated description
Tanoli Hindko is a regional variety of the Hindko language traditionally spoken by members of the Tanoli community in parts of northern Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanoli Hindko Target entity description: Tanoli Hindko is a regional variety of the Hindko language traditionally spoken by members of the Tanoli community in parts of northern Pakistan.
-
A.
Potohari Punjabi
Potohari Punjabi is a regional variety of the Punjabi language spoken primarily in Pakistan’s Potohar Plateau and surrounding northern Punjab areas.
-
B.
Doabi Punjabi
Doabi Punjabi is a regional variety of the Punjabi language spoken primarily in the Doaba region of the Indian state of Punjab.
-
C.
Malwai Punjabi
Malwai Punjabi is a regional variety of the Punjabi language spoken primarily in the Malwa region of the Indian state of Punjab.
-
D.
Lasi Sindhi
Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
-
E.
Bagheli
Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
- F. None of above. chosen
Provenance (5 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03476b288190b3df8f9f4d502ea8 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0782b0dc8190bf971eacb3b4582c |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce0854ce788190a209f229d504c038 |
completed | April 2, 2026, 6:10 a.m. |
Created at: March 30, 2026, 6:06 p.m.