Triple

T20688130
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes Airlines E508476 entity
Predicate ICAOcode P419 FINISHED
Object GLA
GLA is the ICAO airline designator for Great Lakes Airlines, a former U.S. regional carrier that primarily served smaller communities.
 E1446242 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: GLA | Statement: [Great Lakes Airlines, ICAOcode, GLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GLA
Context triple: [Great Lakes Airlines, ICAOcode, GLA]
  • A. GLA
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • B. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • C. GCLA
    GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
  • D. GLO
    GLO is the National Rail station code for Glossop railway station in Derbyshire, England.
  • E. GLAA
    GLAA is a UK government body responsible for licensing labour providers and investigating labour exploitation and modern slavery in high-risk sectors.
  • 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: GLA
Triple: [Great Lakes Airlines, ICAOcode, GLA]
Generated description
GLA is the ICAO airline designator for Great Lakes Airlines, a former U.S. regional carrier that primarily served smaller communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GLA
Target entity description: GLA is the ICAO airline designator for Great Lakes Airlines, a former U.S. regional carrier that primarily served smaller communities.
  • A. GLA
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • B. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • C. GCLA
    GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
  • D. GLO
    GLO is the National Rail station code for Glossop railway station in Derbyshire, England.
  • E. GLAA
    GLAA is a UK government body responsible for licensing labour providers and investigating labour exploitation and modern slavery in high-risk sectors.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e04b7c8190b49f638fb8ff88c6 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08dbdeb8e48190b8fda90fbd2a1837 completed May 16, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_6a08dc66bc4081908bdcc559fc777cd3 completed May 16, 2026, 9:06 p.m.
Created at: April 16, 2026, 11:45 a.m.