Triple
T10179612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashayi languages |
E235950
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object |
Alingar Pashayi
Alingar Pashayi is a regional variety of the Pashayi languages spoken by Pashayi communities in the Alingar area of eastern Afghanistan.
|
E849584
|
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: Alingar Pashayi | Statement: [Pashayi languages, hasVariety, Alingar Pashayi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alingar Pashayi Context triple: [Pashayi languages, hasVariety, Alingar Pashayi]
-
A.
Alishang Pashayi
Alishang Pashayi is a regional variety of the Pashayi language spoken by Pashayi communities in the Alishang area of eastern Afghanistan.
-
B.
Kordar Pashayi
Kordar Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
-
C.
Tagau Pashayi
Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
-
D.
Ghezala
Ghezala is a town and administrative delegation located in the Bizerte Governorate of northern Tunisia.
-
E.
Sarya Tlass
Sarya Tlass is a Syrian businesswoman and daughter of longtime Syrian defense minister Mustafa Tlass, known for her connections to the country’s political elite.
- 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: Alingar Pashayi Triple: [Pashayi languages, hasVariety, Alingar Pashayi]
Generated description
Alingar Pashayi is a regional variety of the Pashayi languages spoken by Pashayi communities in the Alingar area of eastern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alingar Pashayi Target entity description: Alingar Pashayi is a regional variety of the Pashayi languages spoken by Pashayi communities in the Alingar area of eastern Afghanistan.
-
A.
Alishang Pashayi
Alishang Pashayi is a regional variety of the Pashayi language spoken by Pashayi communities in the Alishang area of eastern Afghanistan.
-
B.
Kordar Pashayi
Kordar Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
-
C.
Tagau Pashayi
Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
-
D.
Ghezala
Ghezala is a town and administrative delegation located in the Bizerte Governorate of northern Tunisia.
-
E.
Sarya Tlass
Sarya Tlass is a Syrian businesswoman and daughter of longtime Syrian defense minister Mustafa Tlass, known for her connections to the country’s political elite.
- 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_69d652a5fa6c8190ac153678f979cb74 |
completed | April 8, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69d656c057348190823ae5f1ecc33b61 |
completed | April 8, 2026, 1:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6575318a08190b4591b57f2595d51 |
completed | April 8, 2026, 1:25 p.m. |
Created at: March 30, 2026, 9:11 p.m.