Triple

T4016131
Position Surface form Disambiguated ID Type / Status
Subject John Glenn Columbus International Airport E90764 entity
Predicate ICAOcode P419 FINISHED
Object KCMH
KCMH is the ICAO airport code for John Glenn Columbus International Airport, a major commercial airport serving Columbus, Ohio.
 E405797 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: KCMH | Statement: [John Glenn Columbus International Airport, ICAOcode, KCMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCMH
Context triple: [John Glenn Columbus International Airport, ICAOcode, KCMH]
  • A. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • B. KK Women's and Children's Hospital
    KK Women's and Children's Hospital is a leading Singaporean specialist hospital focused on obstetrics, gynaecology, paediatrics, and neonatology.
  • C. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • D. Kernochan Center
    Kernochan Center is a Columbia Law School research and advocacy center focused on intellectual property, copyright, and the intersection of law, media, and the arts.
  • E. KHM
    KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
  • 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: KCMH
Triple: [John Glenn Columbus International Airport, ICAOcode, KCMH]
Generated description
KCMH is the ICAO airport code for John Glenn Columbus International Airport, a major commercial airport serving Columbus, Ohio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCMH
Target entity description: KCMH is the ICAO airport code for John Glenn Columbus International Airport, a major commercial airport serving Columbus, Ohio.
  • A. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • B. KK Women's and Children's Hospital
    KK Women's and Children's Hospital is a leading Singaporean specialist hospital focused on obstetrics, gynaecology, paediatrics, and neonatology.
  • C. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • D. Kernochan Center
    Kernochan Center is a Columbia Law School research and advocacy center focused on intellectual property, copyright, and the intersection of law, media, and the arts.
  • E. KHM
    KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa7352481908232534c89a698e7 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c768e5481908b184332e3c73588 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d06c7c881908b30ba813c009d25 completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b54d739e588190b23c06b10b4f540e completed March 14, 2026, 11:58 a.m.
Created at: March 9, 2026, 3:35 p.m.