Triple

T21372294
Position Surface form Disambiguated ID Type / Status
Subject Geldern E527096 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KLE 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: KLE | Statement: [Geldern, vehicleRegistrationCode, KLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLE
Context triple: [Geldern, vehicleRegistrationCode, KLE]
  • A. KLE chosen
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • B. KLEW
    KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • C. KEL
    KEL is the IATA airport code for Kiel-Holtenau Airport, a regional airport serving the city of Kiel in northern Germany.
  • D. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • E. KLS
    KLS is the IATA airport code for Southwest Washington Regional Airport, a public airport serving the Longview–Kelso area in Washington State, USA.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b0d5ec81908da8f38380dbdc7a completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.