Triple
T4800424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indigenous peoples of the Arctic |
E106819
|
entity |
| Predicate | includeEthnicGroup |
P45393
|
FINISHED |
| Object | Dolgan |
E233989
|
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: Dolgan | Statement: [Indigenous peoples of the Arctic, includeEthnicGroup, Dolgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolgan Context triple: [Indigenous peoples of the Arctic, includeEthnicGroup, 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.
Dzherman
Dzherman is a river in southwestern Bulgaria that serves as a significant tributary of the Struma River.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c40b3c881909be9fd9ee892993b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43fc9e448190b9bfd2ff59ab4146 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:23 p.m.