Triple
T6792707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamiris |
E155971
|
entity |
| Predicate | speak |
P741
|
FINISHED |
| Object | Shughni language |
E522464
|
NE FINISHED |
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: Shughni language | Statement: [Pamiris, speak, Shughni language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shughni language Context triple: [Pamiris, speak, Shughni language]
-
A.
Shughni language
chosen
Shughni is an Eastern Iranian language spoken primarily in the Pamir region of Tajikistan and Afghanistan, known for its rich oral tradition and use among Shughni ethnic communities.
-
B.
Tsakhur language
The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
-
C.
Khinalug language
The Khinalug language is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
-
D.
Mussau-Emira language
Mussau-Emira language is an Oceanic Austronesian language spoken primarily on Mussau and nearby islands in Papua New Guinea.
-
E.
Tumshuqese language
The Tumshuqese language is an extinct Middle Iranian language once spoken in the Tarim Basin region of present-day Xinjiang, China, known primarily from Buddhist and administrative manuscripts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8eaefc819098e848b3012da749 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.