Triple

T16351519
Position Surface form Disambiguated ID Type / Status
Subject Peoples of the Caucasus E397071 entity
Predicate hasSubgroup P747 FINISHED
Object Abazins E143179 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: Abazins | Statement: [Peoples of the Caucasus, hasSubgroup, Abazins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abazins
Context triple: [Peoples of the Caucasus, hasSubgroup, Abazins]
  • A. Abazins chosen
    Abazins are a small Northwest Caucasian ethnic group closely related to the Abkhazians, traditionally inhabiting the North Caucasus region and speaking the Abaza language.
  • B. Abriès
    Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
  • C. Baugnez
    Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
  • D. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • E. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facbf60c8190aa47d4c45ff59354 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db6375c81908c64dbe2bc987b1a completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.