Triple

T17143113
Position Surface form Disambiguated ID Type / Status
Subject Louny E416018 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LN
LN is the vehicle registration code used for motor vehicles registered in the Louny district of the Czech Republic.
 E1253198 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: LN | Statement: [Louny, vehicleRegistrationCode, LN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LN
Context triple: [Louny, vehicleRegistrationCode, LN]
  • A. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • B. LN
    LN is the IATA airline designator assigned to Libyan Arab Airlines, the national carrier of Libya.
  • C. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • D. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • E. Nh
    Nihonium is a synthetic, highly radioactive superheavy chemical element with atomic number 113, first discovered in Japan.
  • 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: LN
Triple: [Louny, vehicleRegistrationCode, LN]
Generated description
LN is the vehicle registration code used for motor vehicles registered in the Louny district of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LN
Target entity description: LN is the vehicle registration code used for motor vehicles registered in the Louny district of the Czech Republic.
  • A. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • B. LN
    LN is the IATA airline designator assigned to Libyan Arab Airlines, the national carrier of Libya.
  • C. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • D. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • E. Nh
    Nihonium is a synthetic, highly radioactive superheavy chemical element with atomic number 113, first discovered in Japan.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a014529e7908190bab3e351cdc78c7c completed May 11, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a014595ca108190ad1587287987fc01 completed May 11, 2026, 2:57 a.m.
Created at: April 10, 2026, 5:36 a.m.