Triple

T1419189
Position Surface form Disambiguated ID Type / Status
Subject KLM E31984 entity
Predicate IATAcode P418 FINISHED
Object KL
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
E162768 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: KL | Statement: [KLM, IATAcode, KL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KL
Context triple: [KLM, IATAcode, KL]
  • A. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • 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: KL
Triple: [KLM, IATAcode, KL]
Generated description
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KL
Target entity description: KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • A. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace78168f481908133d74a52a7f6c9 completed March 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69aceb4ac6bc8190a3d0b44f922d5302 completed March 8, 2026, 3:21 a.m.
Created at: March 1, 2026, 7:59 p.m.