Triple

T9224350
Position Surface form Disambiguated ID Type / Status
Subject Fort Wayne International Airport E221642 entity
Predicate ICAOcode P419 FINISHED
Object KFWA
KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
 E785009 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: KFWA | Statement: [Fort Wayne International Airport, ICAOcode, KFWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFWA
Context triple: [Fort Wayne International Airport, ICAOcode, KFWA]
  • A. NFWA
    NFWA (National Farm Workers Association) was a labor organization that became the foundation of the United Farm Workers union, central to the farmworker rights movement in the United States.
  • B. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • C. WAC
    WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
  • D. WAC
    WAC is the National Rail station code for Warrington Central railway station in Cheshire, England.
  • E. WVHA
    WVHA was the SS Main Economic and Administrative Office of Nazi Germany, responsible for managing the SS’s economic enterprises, concentration camp administration, and logistical support.
  • 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: KFWA
Triple: [Fort Wayne International Airport, ICAOcode, KFWA]
Generated description
KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFWA
Target entity description: KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
  • A. NFWA
    NFWA (National Farm Workers Association) was a labor organization that became the foundation of the United Farm Workers union, central to the farmworker rights movement in the United States.
  • B. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • C. WAC
    WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
  • D. WAC
    WAC is the National Rail station code for Warrington Central railway station in Cheshire, England.
  • E. WVHA
    WVHA was the SS Main Economic and Administrative Office of Nazi Germany, responsible for managing the SS’s economic enterprises, concentration camp administration, and logistical support.
  • 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_69d0664565748190a45cf382fca72cbe completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.