Triple
T19599447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolgan people |
E470428
|
entity |
| Predicate | nativeLanguage |
P151
|
FINISHED |
| Object | Dolgan language |
—
|
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: Dolgan language | Statement: [Dolgan people, nativeLanguage, Dolgan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolgan language Context triple: [Dolgan people, nativeLanguage, Dolgan language]
-
A.
Dolgan language
chosen
The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
-
B.
Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
-
C.
Dungan language
The Dungan language is a Sinitic language closely related to Mandarin, spoken primarily by the Dungan people in Central Asia and written in the Cyrillic script.
-
D.
Kalina language
The Kalina language is an indigenous Cariban language spoken by the Kalina (Carib) people of northern South America and the Caribbean coast.
-
E.
Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.