Triple
T9561552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shughni |
E230685
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Roshani
Roshani is a regional dialect of the Shughni language spoken by communities in the Pamir region of Central Asia.
|
E806536
|
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: Roshani | Statement: [Shughni, hasDialect, Roshani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roshani Context triple: [Shughni, hasDialect, Roshani]
-
A.
Shiva Rose
Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
-
B.
Roshini
Roshini is an Indian actress known for her work in Tamil cinema and for being the sister of popular actress Jyothika.
-
C.
Shantanava
Shantanava is an epithet of Bhishma, the revered grandsire and formidable warrior of the Mahabharata, known for his vow of lifelong celibacy and unwavering loyalty to the Kuru throne.
-
D.
Parushni
Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
-
E.
Anika
Anika is the first name of Anika Noni Rose, an American actress and singer best known for voicing Tiana in Disney’s "The Princess and the Frog."
- 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: Roshani Triple: [Shughni, hasDialect, Roshani]
Generated description
Roshani is a regional dialect of the Shughni language spoken by communities in the Pamir region of Central Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roshani Target entity description: Roshani is a regional dialect of the Shughni language spoken by communities in the Pamir region of Central Asia.
-
A.
Shiva Rose
Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
-
B.
Roshini
Roshini is an Indian actress known for her work in Tamil cinema and for being the sister of popular actress Jyothika.
-
C.
Shantanava
Shantanava is an epithet of Bhishma, the revered grandsire and formidable warrior of the Mahabharata, known for his vow of lifelong celibacy and unwavering loyalty to the Kuru throne.
-
D.
Parushni
Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
-
E.
Anika
Anika is the first name of Anika Noni Rose, an American actress and singer best known for voicing Tiana in Disney’s "The Princess and the Frog."
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994d31e08190b139f5ad10d8ea31 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a014a48190925d52967e1fbffe |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d1539bad8481909f9bd060aa3b651c |
completed | April 4, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d154567f408190a848eea4ca905fb6 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:03 p.m.