Triple

T6018610
Position Surface form Disambiguated ID Type / Status
Subject Spokane International Airport E134008 entity
Predicate IATA code P2569 FINISHED
Object GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
E561918 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: GEG | Statement: [Spokane International Airport, IATA code, GEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEG
Context triple: [Spokane International Airport, IATA code, GEG]
  • A. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • B. .ge
    .ge is the country code top-level domain (ccTLD) assigned to websites associated with Georgia.
  • C. CGE
    CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
  • D. CGE
    CGE is the abbreviation for Compagnie Générale d’Electricité, a former major French industrial and telecommunications conglomerate.
  • E. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • 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: GEG
Triple: [Spokane International Airport, IATA code, GEG]
Generated description
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GEG
Target entity description: GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • A. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • B. .ge
    .ge is the country code top-level domain (ccTLD) assigned to websites associated with Georgia.
  • C. CGE
    CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
  • D. CGE
    CGE is the abbreviation for Compagnie Générale d’Electricité, a former major French industrial and telecommunications conglomerate.
  • E. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108b842c48190b9469e2892a213d3 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:07 p.m.