Triple

T8536178
Position Surface form Disambiguated ID Type / Status
Subject KONE E202082 entity
Predicate tickerSymbol P1447 FINISHED
Object KNEBV
KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
 E740653 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: KNEBV | Statement: [KONE, tickerSymbol, KNEBV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNEBV
Context triple: [KONE, tickerSymbol, KNEBV]
  • A. KNE
    KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • B. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • C. Knv
    Knv is the station code for Knivsta railway station in Sweden.
  • D. KBV
    KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
  • E. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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: KNEBV
Triple: [KONE, tickerSymbol, KNEBV]
Generated description
KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNEBV
Target entity description: KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
  • A. KNE
    KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • B. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • C. Knv
    Knv is the station code for Knivsta railway station in Sweden.
  • D. KBV
    KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
  • E. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8332cc819083c86e0dc58bcc37 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6f02fabc819093b95e0d318c5649 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f9b12148190be55b3f5f2b518d9 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:18 p.m.