Triple
T10179605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashayi languages |
E235950
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object |
Kama Pashayi
Kama Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
|
E846416
|
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: Kama Pashayi | Statement: [Pashayi languages, hasVariety, Kama Pashayi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kama Pashayi Context triple: [Pashayi languages, hasVariety, Kama Pashayi]
-
A.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Shishkat
Shishkat is a village in the Hunza Valley of Gilgit-Baltistan, northern Pakistan, known for its proximity to the scenic Attabad Lake and the Karakoram Highway.
-
D.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
E.
Nushki
Nushki is a town in Pakistan’s Balochistan province, known as a key junction on routes linking the region to Afghanistan and Iran.
- 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: Kama Pashayi Triple: [Pashayi languages, hasVariety, Kama Pashayi]
Generated description
Kama Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kama Pashayi Target entity description: Kama Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
-
A.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Shishkat
Shishkat is a village in the Hunza Valley of Gilgit-Baltistan, northern Pakistan, known for its proximity to the scenic Attabad Lake and the Karakoram Highway.
-
D.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
E.
Nushki
Nushki is a town in Pakistan’s Balochistan province, known as a key junction on routes linking the region to Afghanistan and Iran.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31792490c819088c89444f75cdbc9 |
completed | April 6, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69d31877825c8190a6f66a4485a259c4 |
completed | April 6, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d318d280f48190be1532588963b674 |
completed | April 6, 2026, 2:22 a.m. |
Created at: March 30, 2026, 9:11 p.m.