Triple

T6577742
Position Surface form Disambiguated ID Type / Status
Subject No. 54 Squadron RAF E157210 entity
Predicate hasSquadronCode P17886 FINISHED
Object KL
KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
 E602399 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: [No. 54 Squadron RAF, hasSquadronCode, KL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KL
Context triple: [No. 54 Squadron RAF, hasSquadronCode, KL]
  • A. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • B. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • C. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • D. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • E. 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.
  • 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: [No. 54 Squadron RAF, hasSquadronCode, KL]
Generated description
KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KL
Target entity description: KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
  • A. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • B. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • C. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • D. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • E. 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.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:54 p.m.