Triple
T664621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhi |
E12831
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
|
E97736
|
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: Thari | Statement: [Sindhi, hasDialects, Thari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thari Context triple: [Sindhi, hasDialects, Thari]
-
A.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
B.
Marḥeshvan
Marḥeshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
C.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
-
D.
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
E.
Tihamah
Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
- 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: Thari Triple: [Sindhi, hasDialects, Thari]
Generated description
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thari Target entity description: Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
A.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
B.
Marḥeshvan
Marḥeshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
C.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
-
D.
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
E.
Tihamah
Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd3d8fc8190866af5c76c08f486 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d6cdc9c81909eb3240c00fa530d |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78e55468c8190abf96f0c0d5b3450 |
completed | March 4, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78eb80f6081908257889efaff6d33 |
completed | March 4, 2026, 1:45 a.m. |
Created at: March 1, 2026, 7:36 p.m.