Triple

T885158
Position Surface form Disambiguated ID Type / Status
Subject Dallas Love Field E19113 entity
Predicate ICAOcode P419 FINISHED
Object KDAL
KDAL is the ICAO airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
 E104263 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: KDAL | Statement: [Dallas Love Field, ICAOcode, KDAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KDAL
Context triple: [Dallas Love Field, ICAOcode, KDAL]
  • A. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • B. DAK
    DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
  • C. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • D. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • E. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • 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: KDAL
Triple: [Dallas Love Field, ICAOcode, KDAL]
Generated description
KDAL is the ICAO airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KDAL
Target entity description: KDAL is the ICAO airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • A. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • B. DAK
    DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
  • C. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • D. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • E. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace5e15c81908cc2e648c9cd52f2 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85a37648190b20b12c544a85bda completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7bc1c418081909a7a91692bd46057 completed March 4, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7bd094df08190b9ea6c350b3abb3d completed March 4, 2026, 5:03 a.m.
Created at: March 1, 2026, 7:39 p.m.