Triple
T19599475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolgan people |
E470428
|
entity |
| Predicate | selfDesignation |
P974
|
FINISHED |
| Object | Dolgan |
—
|
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 | Statement: [Dolgan people, selfDesignation, Dolgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolgan Context triple: [Dolgan people, selfDesignation, Dolgan]
-
A.
Dolgan
chosen
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
B.
Dolgoch
Dolgoch is a historic narrow-gauge steam locomotive on Wales’s Talyllyn Railway, renowned for its preservation-era significance and distinctive Victorian design.
-
C.
Dolmar
Dolmar is a prominent mountain in central Germany’s Thuringian region, known for its scenic landscapes and hiking opportunities near the town of Suhl.
-
D.
Torysky
Torysky is a small village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
-
E.
Salka
Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
- 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.