Triple

T16947880
Position Surface form Disambiguated ID Type / Status
Subject Russian Association of Indigenous Peoples of the North E411111 entity
Predicate hasMemberCommunities P76883 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: [Russian Association of Indigenous Peoples of the North, hasMemberCommunities, Dolgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolgan
Context triple: [Russian Association of Indigenous Peoples of the North, hasMemberCommunities, 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. Dzherman
    Dzherman is a river in southwestern Bulgaria that serves as a significant tributary of the Struma River.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb374588190b30230594aa418c6 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfeeee948190a5c8904d1f559a28 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.