Triple

T14302311
Position Surface form Disambiguated ID Type / Status
Subject Czorsztyn E354596 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KNT
KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
 E1091536 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: KNT | Statement: [Czorsztyn, vehicleRegistrationCode, KNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNT
Context triple: [Czorsztyn, vehicleRegistrationCode, KNT]
  • A. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • B. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • C. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. KNS
    KNS is the IATA airport code for King Island Airport, which serves King Island in Tasmania, Australia.
  • 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: KNT
Triple: [Czorsztyn, vehicleRegistrationCode, KNT]
Generated description
KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNT
Target entity description: KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • A. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • B. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • C. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. KNS
    KNS is the IATA airport code for King Island Airport, which serves King Island in Tasmania, Australia.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3dc46b408190b7c515156f81f1fc completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3eb045488190b44812eb638807ff completed May 8, 2026, 1:38 a.m.
Created at: April 10, 2026, 1:12 a.m.