Triple
T4048253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasi |
E84119
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Lasi Sindhi
Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
|
E408307
|
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: Lasi Sindhi | Statement: [Lasi, hasAlternativeName, Lasi Sindhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasi Sindhi Context triple: [Lasi, hasAlternativeName, Lasi Sindhi]
-
A.
Multani
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
-
B.
Pothwari
Pothwari is an Indo-Aryan language spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, closely related to Punjabi and Hindko.
-
C.
Mir-e Bakhshi
Mir-e Bakhshi was a high-ranking Mughal imperial official responsible for military administration, including the management of army personnel and pay.
-
D.
Javid Nama
Javid Nama is a philosophical Persian epic poem by Allama Muhammad Iqbal that explores spiritual journey, selfhood, and the destiny of the Muslim world through an allegorical celestial voyage.
-
E.
Doabi Punjabi
Doabi Punjabi is a regional variety of the Punjabi language spoken primarily in the Doaba region of the Indian state of Punjab.
- 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: Lasi Sindhi Triple: [Lasi, hasAlternativeName, Lasi Sindhi]
Generated description
Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasi Sindhi Target entity description: Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
-
A.
Multani
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
-
B.
Pothwari
Pothwari is an Indo-Aryan language spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, closely related to Punjabi and Hindko.
-
C.
Mir-e Bakhshi
Mir-e Bakhshi was a high-ranking Mughal imperial official responsible for military administration, including the management of army personnel and pay.
-
D.
Javid Nama
Javid Nama is a philosophical Persian epic poem by Allama Muhammad Iqbal that explores spiritual journey, selfhood, and the destiny of the Muslim world through an allegorical celestial voyage.
-
E.
Doabi Punjabi
Doabi Punjabi is a regional variety of the Punjabi language spoken primarily in the Doaba region of the Indian state of Punjab.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5565466648190802a9b8fd88c3572 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556cdd05081909fea1fb0a58bc7d1 |
completed | March 14, 2026, 12:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557d445d081908f48fe3bd06f786e |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.