Triple

T21182927
Position Surface form Disambiguated ID Type / Status
Subject Gmina Sitkówka-Nowiny E521997 entity
Predicate hasCarPlatesCode P26915 FINISHED
Object TKI
TKI is a Polish vehicle registration code assigned to cars registered in the area of Gmina Sitkówka-Nowiny in the Świętokrzyskie Voivodeship.
E1470021 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: TKI | Statement: [Gmina Sitkówka-Nowiny, hasCarPlatesCode, TKI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TKI
Context triple: [Gmina Sitkówka-Nowiny, hasCarPlatesCode, TKI]
  • A. TKI
    TKI is the three-letter IATA airport code for McKinney National Airport in McKinney, Texas.
  • B. KTKI
    KTKI is the ICAO airport code for McKinney National Airport, a public airport serving McKinney, Texas, in the United States.
  • C. TCK
    TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
  • D. TCK
    TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
  • E. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • 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: TKI
Triple: [Gmina Sitkówka-Nowiny, hasCarPlatesCode, TKI]
Generated description
TKI is a Polish vehicle registration code assigned to cars registered in the area of Gmina Sitkówka-Nowiny in the Świętokrzyskie Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TKI
Target entity description: TKI is a Polish vehicle registration code assigned to cars registered in the area of Gmina Sitkówka-Nowiny in the Świętokrzyskie Voivodeship.
  • A. TKI
    TKI is the three-letter IATA airport code for McKinney National Airport in McKinney, Texas.
  • B. KTKI
    KTKI is the ICAO airport code for McKinney National Airport, a public airport serving McKinney, Texas, in the United States.
  • C. TCK
    TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
  • D. TCK
    TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
  • E. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301f7f1c81908686866fdee57127 completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757d659881909e41f593417247e5 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09769c4d1c8190bf8f53fafc840fa9 completed May 17, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a097709a4c88190a38d787260599348 completed May 17, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.