Triple
T19677389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shina language |
E472489
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Khowar |
—
|
NE NERFINISHED |
How this triple was built (2 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: Khowar | Statement: [Shina language, neighboringLanguages, Khowar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khowar Context triple: [Shina language, neighboringLanguages, Khowar]
-
A.
Khowar
chosen
Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
-
B.
Brahui
Brahui is a Dravidian language spoken primarily by the Brahui people in parts of Pakistan, Afghanistan, and Iran.
-
C.
Kalasha language
The Kalasha language is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of Chitral District in northern Pakistan.
-
D.
Asmat language
The Asmat language is a Papuan language spoken by the Asmat people of southwestern New Guinea, known for its many dialects and rich oral tradition.
-
E.
Gorani
Gorani are a Slavic Muslim ethnic group native to the mountainous Gora region spanning parts of Kosovo, Albania, and North Macedonia, known for their distinct dialect and cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bceef881909c5b655af709c8c6 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.