Triple

T6017399
Position Surface form Disambiguated ID Type / Status
Subject Końskie County E133980 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object TKN
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
E561863 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: TKN | Statement: [Końskie County, hasVehicleRegistrationCode, TKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TKN
Context triple: [Końskie County, hasVehicleRegistrationCode, TKN]
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. TKF
    TKF is the IATA airport code for Truckee Tahoe Airport, a general aviation airport serving the Truckee and Lake Tahoe region in California, USA.
  • E. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • 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: TKN
Triple: [Końskie County, hasVehicleRegistrationCode, TKN]
Generated description
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TKN
Target entity description: TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. TKF
    TKF is the IATA airport code for Truckee Tahoe Airport, a general aviation airport serving the Truckee and Lake Tahoe region in California, USA.
  • E. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8458588190a78aa32cbdbecfb1 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108b842c48190b9469e2892a213d3 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:07 p.m.