Triple

T7062738
Position Surface form Disambiguated ID Type / Status
Subject Akron–Canton Airport E164258 entity
Predicate IATAcode P418 FINISHED
Object CAK
CAK is the IATA airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton region in Ohio, USA.
 E638988 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: CAK | Statement: [Akron–Canton Airport, IATAcode, CAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAK
Context triple: [Akron–Canton Airport, IATAcode, CAK]
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • C. CAAC
    CAAC is the acronym for the Civil Aviation Administration of China, the national authority responsible for regulating and overseeing civil aviation in China.
  • D. CXA
    CXA is the ICAO airline designator used to identify XiamenAir in international aviation operations and communications.
  • E. CA9
    CA9 is the standard abbreviation for the United States Court of Appeals for the Ninth Circuit, a federal appellate court covering much of the western United States.
  • 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: CAK
Triple: [Akron–Canton Airport, IATAcode, CAK]
Generated description
CAK is the IATA airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton region in Ohio, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAK
Target entity description: CAK is the IATA airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton region in Ohio, USA.
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • C. CAAC
    CAAC is the acronym for the Civil Aviation Administration of China, the national authority responsible for regulating and overseeing civil aviation in China.
  • D. CXA
    CXA is the ICAO airline designator used to identify XiamenAir in international aviation operations and communications.
  • E. CA9
    CA9 is the standard abbreviation for the United States Court of Appeals for the Ninth Circuit, a federal appellate court covering much of the western United States.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e45cf7488190a7ff15665e283c37 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788b4b6788190aa4e74b9e7eb7eaa completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c7893f85588190b1ed983f00ea2532 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78b0fe83481909cad77ce740b81d5 completed March 28, 2026, 8:02 a.m.
Created at: March 27, 2026, 2:38 p.m.