Triple

T9224351
Position Surface form Disambiguated ID Type / Status
Subject Fort Wayne International Airport E221642 entity
Predicate FAAcode P420 FINISHED
Object FWA
FWA is the three-letter FAA airport code for Fort Wayne International Airport in Fort Wayne, Indiana.
 E786800 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: FWA | Statement: [Fort Wayne International Airport, FAAcode, FWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FWA
Context triple: [Fort Wayne International Airport, FAAcode, FWA]
  • A. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • B. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • C. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • D. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • E. FWCA
    FWCA is a U.S. federal law that requires consideration and coordination of fish and wildlife conservation in the planning and implementation of water resource development projects.
  • 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: FWA
Triple: [Fort Wayne International Airport, FAAcode, FWA]
Generated description
FWA is the three-letter FAA airport code for Fort Wayne International Airport in Fort Wayne, Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FWA
Target entity description: FWA is the three-letter FAA airport code for Fort Wayne International Airport in Fort Wayne, Indiana.
  • A. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • B. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • C. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • D. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • E. FWCA
    FWCA is a U.S. federal law that requires consideration and coordination of fish and wildlife conservation in the planning and implementation of water resource development projects.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9c71c4819089dcc3689f322529 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779de5a88190b6a9266c976e05b1 completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d0782d305481909a2b41615e890863 completed April 4, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69d0789ef4288190bf4d52e7ed47bd9b completed April 4, 2026, 2:34 a.m.
Created at: March 30, 2026, 7:28 p.m.