Triple

T21765316
Position Surface form Disambiguated ID Type / Status
Subject Schmallenberg E537268 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HSK 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: HSK | Statement: [Schmallenberg, vehicleRegistrationCode, HSK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSK
Context triple: [Schmallenberg, vehicleRegistrationCode, HSK]
  • A. HSK chosen
    HSK is the vehicle registration code for the Hochsauerlandkreis district in the German state of North Rhine-Westphalia.
  • B. UHSK
    UHSK is the ICAO airport code assigned to Severo-Kurilsk Airport in Russia’s Kuril Islands.
  • C. Hanyu
    Hanyu is a Chinese given name shared by various individuals, including notable figures in fields such as acting, sports, and academia.
  • D. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • E. MHK
    MHK is the FAA airport code for Manhattan Regional Airport, a commercial airport serving Manhattan, Kansas, and the surrounding region.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a9a08c8190bc0588ffa0f2da44 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.