Triple

T7349146
Position Surface form Disambiguated ID Type / Status
Subject Calais-Dunkerque Airport E169449 entity
Predicate ICAOcode P419 FINISHED
Object LFAC
LFAC is the ICAO airport code for Calais–Dunkerque Airport in northern France.
 E658369 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: LFAC | Statement: [Calais-Dunkerque Airport, ICAOcode, LFAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LFAC
Context triple: [Calais-Dunkerque Airport, ICAOcode, LFAC]
  • A. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • B. LFLC
    LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. FAC
    FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
  • E. FAC
    FAC is a renowned multidisciplinary cultural center and contemporary art space in Havana, Cuba, known for its fusion of visual arts, music, performance, and nightlife.
  • 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: LFAC
Triple: [Calais-Dunkerque Airport, ICAOcode, LFAC]
Generated description
LFAC is the ICAO airport code for Calais–Dunkerque Airport in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LFAC
Target entity description: LFAC is the ICAO airport code for Calais–Dunkerque Airport in northern France.
  • A. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • B. LFLC
    LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. FAC
    FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
  • E. FAC
    FAC is a renowned multidisciplinary cultural center and contemporary art space in Havana, Cuba, known for its fusion of visual arts, music, performance, and nightlife.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f269548190abdad3be6856ae8a completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa95b26481909f26389d1019da91 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb2605c819080697768d00c77d7 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:05 p.m.