Triple

T4041321
Position Surface form Disambiguated ID Type / Status
Subject Addison Airport E83955 entity
Predicate ICAO code P419 FINISHED
Object KADS
KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
 E408922 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: KADS | Statement: [Addison Airport, ICAO code, KADS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KADS
Context triple: [Addison Airport, ICAO code, KADS]
  • A. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • B. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • C. KAP
    KAP is the common abbreviation for Kappa Alpha Psi, a historically African American collegiate Greek-letter fraternity founded in 1911.
  • D. KNDS
    KNDS is a European defense industry holding company formed as a joint venture between Germany’s Krauss-Maffei Wegmann and France’s Nexter Systems, specializing in military land systems such as tanks and armored vehicles.
  • E. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • 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: KADS
Triple: [Addison Airport, ICAO code, KADS]
Generated description
KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KADS
Target entity description: KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
  • A. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • B. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • C. KAP
    KAP is the common abbreviation for Kappa Alpha Psi, a historically African American collegiate Greek-letter fraternity founded in 1911.
  • D. KNDS
    KNDS is a European defense industry holding company formed as a joint venture between Germany’s Krauss-Maffei Wegmann and France’s Nexter Systems, specializing in military land systems such as tanks and armored vehicles.
  • E. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3a9314819095dcf47675eedb48 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55649b75c819086b272f56ac73be4 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a1974348190b6c8ca74fb9da47e completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a828d7881908e3e9a14bc77103c completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:37 p.m.