Triple

T8799164
Position Surface form Disambiguated ID Type / Status
Subject Inyokern Airport E209357 entity
Predicate ICAOcode P419 FINISHED
Object KIYK
KIYK is the ICAO airport code for Inyokern Airport, a public airport serving the Inyokern area in Kern County, California.
 E759832 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: KIYK | Statement: [Inyokern Airport, ICAOcode, KIYK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KIYK
Context triple: [Inyokern Airport, ICAOcode, KIYK]
  • A. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • B. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. KIH
    KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
  • 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: KIYK
Triple: [Inyokern Airport, ICAOcode, KIYK]
Generated description
KIYK is the ICAO airport code for Inyokern Airport, a public airport serving the Inyokern area in Kern County, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KIYK
Target entity description: KIYK is the ICAO airport code for Inyokern Airport, a public airport serving the Inyokern area in Kern County, California.
  • A. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • B. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. KIH
    KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb7491c8190bcdb98d6cc003d9e completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f658f248190957eba821b07cc4f completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf713a184c8190b1fa788fd3ba8304 completed April 3, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf71d3517c819088c930ed468c4e8e completed April 3, 2026, 7:52 a.m.
Created at: March 30, 2026, 6:44 p.m.