Triple

T707632
Position Surface form Disambiguated ID Type / Status
Subject Ontario International Airport E14135 entity
Predicate ICAOcode P419 FINISHED
Object KONT
KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
 E84263 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: KONT | Statement: [Ontario International Airport, ICAOcode, KONT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KONT
Context triple: [Ontario International Airport, ICAOcode, KONT]
  • A. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • D. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • E. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • 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: KONT
Triple: [Ontario International Airport, ICAOcode, KONT]
Generated description
KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KONT
Target entity description: KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • A. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • D. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • E. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb1795c8190a178e14509b8b271 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de4387f081909fc3f7c7db03a375 completed March 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69a5ff6bcbd8819089f7a303a6a491a8 completed March 2, 2026, 9:21 p.m.
Created at: March 1, 2026, 7:36 p.m.