Triple

T18457197
Position Surface form Disambiguated ID Type / Status
Subject Kokemäki E450932 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object KOK
KOK is the vehicle registration code assigned to the Finnish town of Kokemäki.
 E1325131 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: KOK | Statement: [Kokemäki, hasVehicleRegistrationCode, KOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KOK
Context triple: [Kokemäki, hasVehicleRegistrationCode, KOK]
  • A. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • B. KOKB
    KOKB is the ICAO airport code for Oceanside Municipal Airport, a public general aviation facility serving Oceanside, California.
  • C. KOKSH
    KOKSH is the Albanian National Olympic Committee responsible for organizing the country's participation in the Olympic Games and promoting the Olympic movement in Albania.
  • D. Kok
    Kok is a Dutch surname most notably borne by Wim Kok, a former Prime Minister of the Netherlands.
  • E. KOC
    KOC is the abbreviation for the National Olympic Committee of Kosovo, the body responsible for organizing and overseeing Kosovo’s participation in the Olympic Games.
  • 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: KOK
Triple: [Kokemäki, hasVehicleRegistrationCode, KOK]
Generated description
KOK is the vehicle registration code assigned to the Finnish town of Kokemäki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KOK
Target entity description: KOK is the vehicle registration code assigned to the Finnish town of Kokemäki.
  • A. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • B. KOKB
    KOKB is the ICAO airport code for Oceanside Municipal Airport, a public general aviation facility serving Oceanside, California.
  • C. KOKSH
    KOKSH is the Albanian National Olympic Committee responsible for organizing the country's participation in the Olympic Games and promoting the Olympic movement in Albania.
  • D. Kok
    Kok is a Dutch surname most notably borne by Wim Kok, a former Prime Minister of the Netherlands.
  • E. KOC
    KOC is the abbreviation for the National Olympic Committee of Kosovo, the body responsible for organizing and overseeing Kosovo’s participation in the Olympic Games.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe9a7748190b23d40466c3a314a completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a0412260e448190acf29d53559ab69d completed May 13, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a04130734688190a2803c7037900269 completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 11:31 a.m.