Triple

T788502
Position Surface form Disambiguated ID Type / Status
Subject Air France E16857 entity
Predicate IATACode P418 FINISHED
Object AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
 E93835 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 | Statement: [Air France, IATACode, AF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AF
Context triple: [Air France, IATACode, AF]
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • C. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • 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
Triple: [Air France, IATACode, AF]
Generated description
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AF
Target entity description: AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • C. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a67a663f6c819084b5dffdde3531aa completed March 3, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69a67b1d50b0819088232ad797babced completed March 3, 2026, 6:09 a.m.
Created at: March 1, 2026, 7:38 p.m.