Triple

T4658169
Position Surface form Disambiguated ID Type / Status
Subject Cleves E102459 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KLE
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
 E457425 NE FINISHED

How this triple was built (4 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: [Cleves, vehicleRegistrationCode, KLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KLE
Context triple: [Cleves, vehicleRegistrationCode, KLE]
  • A. KLEW
    KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KLE
Triple: [Cleves, vehicleRegistrationCode, KLE]
Generated description
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KLE
Target entity description: KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • A. KLEW
    KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • F. None of above. chosen

Provenance (5 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63271a548190bd9662b69a45d9a5 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf5a0988190b097ef71301aebbe completed March 21, 2026, 1:57 a.m.
NEDg Description generation batch_69bdfc0964c881909e6b98a1c8ea747f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfce1be788190ae3418df301e5136 completed March 21, 2026, 2:05 a.m.
Created at: March 20, 2026, 1:15 p.m.