Triple

T4402870
Position Surface form Disambiguated ID Type / Status
Subject Mikael Agricola E93656 entity
Predicate ethnicGroup P194 FINISHED
Object Finns E40747 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: Finns | Statement: [Mikael Agricola, ethnicGroup, Finns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finns
Context triple: [Mikael Agricola, ethnicGroup, Finns]
  • A. Finns chosen
    Finns are a Northern European ethnic group native to Finland, known for their distinct Finno-Ugric language, rich cultural traditions, and high standard of living.
  • B. Finfinne
    Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
  • C. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • D. Falk
    Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
  • E. Flen
    Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d08a0c8190ac6c125df40eca75 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5fc9f508190a31adb0758555dfa completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.