Triple
T4950099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabasarans |
E111146
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Aghuls |
E483553
|
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: Aghuls | Statement: [Tabasarans, relatedEthnicGroup, Aghuls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aghuls Context triple: [Tabasarans, relatedEthnicGroup, Aghuls]
-
A.
Aghul
chosen
Aghul is a Northeast Caucasian language spoken by the Aghul people in southern Dagestan, Russia.
-
B.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
C.
Guilaki
Guilaki is an alternative name for the Gilaki language spoken by the Gilak people of northern Iran, primarily in the Gilan province along the Caspian Sea.
-
D.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
E.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7167f97481908db5bfa9338e3824 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89eefa5c8190871debbb8fe6dabe |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:31 p.m.