Triple

T11703739
Position Surface form Disambiguated ID Type / Status
Subject Kolárovo E278187 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KN
KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
 E941835 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: KN | Statement: [Kolárovo, vehicleRegistrationCode, KN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KN
Context triple: [Kolárovo, vehicleRegistrationCode, KN]
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • C. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • D. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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: KN
Triple: [Kolárovo, vehicleRegistrationCode, KN]
Generated description
KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KN
Target entity description: KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • C. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • D. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.