Triple

T2285986
Position Surface form Disambiguated ID Type / Status
Subject Waterloo Regional Airport E51392 entity
Predicate ICAOcode P419 FINISHED
Object KALO
KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
 E252377 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: KALO | Statement: [Waterloo Regional Airport, ICAOcode, KALO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KALO
Context triple: [Waterloo Regional Airport, ICAOcode, KALO]
  • A. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • B. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • C. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • D. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • E. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • 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: KALO
Triple: [Waterloo Regional Airport, ICAOcode, KALO]
Generated description
KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KALO
Target entity description: KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • A. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • B. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • C. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • D. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • E. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc24730208190af8a5cf443d334f7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1759b081908842f7ad189994ff completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fc194488190bb71124f0225a521 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae802d03648190a71303daf20e6162 completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:48 p.m.