Triple

T2296044
Position Surface form Disambiguated ID Type / Status
Subject LaGrange–Callaway Airport E51615 entity
Predicate IATA code P2569 FINISHED
Object LGC
LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
 E253690 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: LGC | Statement: [LaGrange–Callaway Airport, IATA code, LGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LGC
Context triple: [LaGrange–Callaway Airport, IATA code, LGC]
  • A. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • B. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • C. GLP
    GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
  • D. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • E. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • 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: LGC
Triple: [LaGrange–Callaway Airport, IATA code, LGC]
Generated description
LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LGC
Target entity description: LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • A. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • B. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • C. GLP
    GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
  • D. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • E. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fd6e8608190b48f3a50ee62d664 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae804b402c81909a5fc68c6ee3decb completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:49 p.m.