Triple
T10778493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dené–Caucasian |
E254255
|
entity |
| Predicate | involvesLanguageIsolate |
P86527
|
FINISHED |
| Object | Burushaski |
E85247
|
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: Burushaski | Statement: [Dené–Caucasian, involvesLanguageIsolate, Burushaski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burushaski Context triple: [Dené–Caucasian, involvesLanguageIsolate, Burushaski]
-
A.
Burushaski
chosen
Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
-
B.
Brahui
Brahui is a Dravidian language spoken primarily by the Brahui people in parts of Pakistan, Afghanistan, and Iran.
-
C.
Mundari
Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
-
D.
Khowar
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.
-
E.
Kurukh
Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c25478819093dedec0c8556777 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84c925088190922b9979cf77d01b |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:16 p.m.