Triple

T5372032
Position Surface form Disambiguated ID Type / Status
Subject Kiel E108871 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KI
KI is the vehicle registration code used on license plates for the German city of Kiel.
 E516284 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: KI | Statement: [Kiel, vehicleRegistrationCode, KI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KI
Context triple: [Kiel, vehicleRegistrationCode, KI]
  • A. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • B. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. Ki
    Ki is the Sumerian earth goddess and primordial mother figure in Mesopotamian mythology, often paired with the sky god Anu in creation traditions.
  • D. Kir
    Kir is a classic French apéritif cocktail traditionally made by mixing dry white wine with crème de cassis (blackcurrant liqueur).
  • E. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • 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: KI
Triple: [Kiel, vehicleRegistrationCode, KI]
Generated description
KI is the vehicle registration code used on license plates for the German city of Kiel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KI
Target entity description: KI is the vehicle registration code used on license plates for the German city of Kiel.
  • A. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • B. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. Ki
    Ki is the Sumerian earth goddess and primordial mother figure in Mesopotamian mythology, often paired with the sky god Anu in creation traditions.
  • D. Kir
    Kir is a classic French apéritif cocktail traditionally made by mixing dry white wine with crème de cassis (blackcurrant liqueur).
  • E. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29347a18819083115fe68db8e708 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a23ba1881909ddc549728bbc2d3 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2e6d5f9081908327dff0058241f0 completed March 21, 2026, 11:49 p.m.
Created at: March 20, 2026, 2:02 p.m.