Triple

T19113830
Position Surface form Disambiguated ID Type / Status
Subject Forney Army Airfield E467855 entity
Predicate ICAOCode P419 FINISHED
Object KFLW
KFLW is the ICAO airport code for Forney Army Airfield, a U.S. military airfield located at Fort Leonard Wood in Missouri.
E1360288 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: KFLW | Statement: [Forney Army Airfield, ICAOCode, KFLW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KFLW
Context triple: [Forney Army Airfield, ICAOCode, KFLW]
  • A. WFLD
    WFLD is a Fox-owned television station serving the Chicago, Illinois market.
  • B. KFLG
    KFLG is the ICAO airport code for Flagstaff Pulliam Airport, a public airport serving Flagstaff, Arizona.
  • C. WBBM-TV
    WBBM-TV is the CBS-owned television station in Chicago that has served as a major local news outlet and early-career platform for prominent journalists such as Lester Holt.
  • D. KMDW
    KMDW is the ICAO airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • E. WMAQ-TV
    WMAQ-TV is the NBC-owned and operated television station serving the Chicago, Illinois market.
  • 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: KFLW
Triple: [Forney Army Airfield, ICAOCode, KFLW]
Generated description
KFLW is the ICAO airport code for Forney Army Airfield, a U.S. military airfield located at Fort Leonard Wood in Missouri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KFLW
Target entity description: KFLW is the ICAO airport code for Forney Army Airfield, a U.S. military airfield located at Fort Leonard Wood in Missouri.
  • A. WFLD
    WFLD is a Fox-owned television station serving the Chicago, Illinois market.
  • B. KFLG
    KFLG is the ICAO airport code for Flagstaff Pulliam Airport, a public airport serving Flagstaff, Arizona.
  • C. WBBM-TV
    WBBM-TV is the CBS-owned television station in Chicago that has served as a major local news outlet and early-career platform for prominent journalists such as Lester Holt.
  • D. KMDW
    KMDW is the ICAO airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • E. WMAQ-TV
    WMAQ-TV is the NBC-owned and operated television station serving the Chicago, Illinois market.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e39617408190b5134918f54f9c52 completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e66ffaf481909c31c007cb165147 completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e9cc2f90819082679876c6a713b5 completed May 14, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_6a06ee0aa8748190bf2ac6740f47c591 completed May 15, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:05 p.m.