Triple

T1213222
Position Surface form Disambiguated ID Type / Status
Subject Myślenice E26049 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KMY
KMY is the Polish vehicle registration code assigned to the Myślenice district in the Lesser Poland Voivodeship.
 E138424 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: KMY | Statement: [Myślenice, vehicleRegistrationCode, KMY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMY
Context triple: [Myślenice, vehicleRegistrationCode, KMY]
  • A. KMVY
    KMVY is the ICAO airport code for Martha's Vineyard Airport, a public airport serving Martha's Vineyard in Massachusetts, USA.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • E. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • 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: KMY
Triple: [Myślenice, vehicleRegistrationCode, KMY]
Generated description
KMY is the Polish vehicle registration code assigned to the Myślenice district in the Lesser Poland Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMY
Target entity description: KMY is the Polish vehicle registration code assigned to the Myślenice district in the Lesser Poland Voivodeship.
  • A. KMVY
    KMVY is the ICAO airport code for Martha's Vineyard Airport, a public airport serving Martha's Vineyard in Massachusetts, USA.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • E. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be024e448190ba263a0cc5cc9cd5 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f44eaec819080bf479f4b6f7f42 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7f9a55dc819098204d53aac70ef3 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac80c3c6b08190a99119f5661c0157 completed March 7, 2026, 7:47 p.m.
Created at: March 1, 2026, 7:46 p.m.