Triple
T623382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saraiki |
E14560
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Multani
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
|
E77870
|
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: Multani | Statement: [Saraiki, hasDialects, Multani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multani Context triple: [Saraiki, hasDialects, Multani]
-
A.
Pakhto
Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
-
B.
Gujranwala
Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
-
C.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
D.
Raza Sahib
Raza Sahib was an 18th-century military leader in southern India who commanded forces during the Siege of Arcot in the Carnatic Wars.
-
E.
Marwari
Marwari is an Indo-Aryan language of western India, primarily spoken in Rajasthan and surrounding regions, and closely related to Gujarati and other Rajasthani dialects.
- 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: Multani Triple: [Saraiki, hasDialects, Multani]
Generated description
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Multani Target entity description: Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
-
A.
Pakhto
Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
-
B.
Gujranwala
Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
-
C.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
D.
Raza Sahib
Raza Sahib was an 18th-century military leader in southern India who commanded forces during the Siege of Arcot in the Carnatic Wars.
-
E.
Marwari
Marwari is an Indo-Aryan language of western India, primarily spoken in Rajasthan and surrounding regions, and closely related to Gujarati and other Rajasthani dialects.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e41753881909f0faed720cc31bc |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563cc368c8190920e0d84d65a236e |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a5644ac23c8190b4df2a9f96385fe0 |
completed | March 2, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a564c7011c81908560b563a4cad560 |
completed | March 2, 2026, 10:21 a.m. |
Created at: March 1, 2026, 7:35 p.m.