Triple

T3609911
Position Surface form Disambiguated ID Type / Status
Subject Cleveland Hopkins International Airport E76460 entity
Predicate IATAcode P418 FINISHED
Object CLE
CLE is the three-letter IATA airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
 E373934 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: CLE | Statement: [Cleveland Hopkins International Airport, IATAcode, CLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLE
Context triple: [Cleveland Hopkins International Airport, IATAcode, CLE]
  • A. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • B. CL
    CL is the ticker symbol for West Texas Intermediate (WTI) crude oil futures contracts traded on the New York Mercantile Exchange (NYMEX).
  • C. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • D. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • E. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • 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: CLE
Triple: [Cleveland Hopkins International Airport, IATAcode, CLE]
Generated description
CLE is the three-letter IATA airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLE
Target entity description: CLE is the three-letter IATA airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
  • A. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • B. CL
    CL is the ticker symbol for West Texas Intermediate (WTI) crude oil futures contracts traded on the New York Mercantile Exchange (NYMEX).
  • C. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • D. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • E. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433102b1c8190bf2b872c227d041a completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b4384038008190a78fb2d0c15d96b3 completed March 13, 2026, 4:16 p.m.
NED2 Entity disambiguation (via description) batch_69b438bfdd088190ba37624fb88a0a0b completed March 13, 2026, 4:18 p.m.
Created at: March 8, 2026, 3:23 p.m.