Triple

T3155631
Position Surface form Disambiguated ID Type / Status
Subject Air France-KLM E65978 entity
Predicate tickerSymbol P1447 FINISHED
Object AF-KL
AF-KL is the stock ticker symbol for Air France-KLM, the major Franco-Dutch airline holding company formed by the merger of Air France and KLM.
E331924 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: AF-KL | Statement: [Air France-KLM, tickerSymbol, AF-KL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AF-KL
Context triple: [Air France-KLM, tickerSymbol, AF-KL]
  • A. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • B. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • C. 11 AF
    11 AF is the abbreviation for the Eleventh Air Force, a numbered air force of the United States Air Force responsible primarily for air operations in the Alaska region.
  • D. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • E. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • 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: AF-KL
Triple: [Air France-KLM, tickerSymbol, AF-KL]
Generated description
AF-KL is the stock ticker symbol for Air France-KLM, the major Franco-Dutch airline holding company formed by the merger of Air France and KLM.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AF-KL
Target entity description: AF-KL is the stock ticker symbol for Air France-KLM, the major Franco-Dutch airline holding company formed by the merger of Air France and KLM.
  • A. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • B. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • C. 11 AF
    11 AF is the abbreviation for the Eleventh Air Force, a numbered air force of the United States Air Force responsible primarily for air operations in the Alaska region.
  • D. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • E. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e97548819084643586fff2e3cb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b22574e7c881908e9645f0869d95a8 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.