Triple

T19951014
Position Surface form Disambiguated ID Type / Status
Subject Aske E479553 entity
Predicate hasVariantForm P457 FINISHED
Object Askesen 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: Askesen | Statement: [Aske, hasVariantForm, Askesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askesen
Context triple: [Aske, hasVariantForm, Askesen]
  • A. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • B. Akesines
    Akesines is an ancient name, often used in classical sources, for the river now known as the Chenab in the northwestern Indian subcontinent.
  • C. Aske chosen
    Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
  • D. Aspelare
    Aspelare is a village and municipal district of the city of Ninove in the Flemish province of East Flanders, Belgium.
  • E. Andselv
    Andselv is a small Norwegian village located in the Troms region, known for its position along the Andselva river and proximity to Bardufoss.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6b694c819080daea9422bcdd38 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.