Triple

T10441028
Position Surface form Disambiguated ID Type / Status
Subject Kelheim E246167 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KEH
KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
 E863111 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: KEH | Statement: [Kelheim, vehicleRegistrationCode, KEH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEH
Context triple: [Kelheim, vehicleRegistrationCode, KEH]
  • A. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • B. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • C. Kehjistan
    Kehjistan is a vast, ancient desert kingdom and major human civilization in the Diablo universe, known for its powerful mage clans, bustling trade cities, and deep ties to Sanctuary’s arcane history.
  • D. KEM
    KEM is the National Rail station code for Kemble railway station in Gloucestershire, England.
  • E. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • 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: KEH
Triple: [Kelheim, vehicleRegistrationCode, KEH]
Generated description
KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEH
Target entity description: KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • A. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • B. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • C. Kehjistan
    Kehjistan is a vast, ancient desert kingdom and major human civilization in the Diablo universe, known for its powerful mage clans, bustling trade cities, and deep ties to Sanctuary’s arcane history.
  • D. KEM
    KEM is the National Rail station code for Kemble railway station in Gloucestershire, England.
  • E. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9df6fc8190830f405ef955d64b completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d8837f98e08190bbffa535f94daf48 completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889d0e70c8190953d164f34f01e47 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:15 p.m.