Triple

T1812996
Position Surface form Disambiguated ID Type / Status
Subject Reno–Tahoe International Airport E40370 entity
Predicate IATAcode P418 FINISHED
Object RNO
RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
 E200871 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: RNO | Statement: [Reno–Tahoe International Airport, IATAcode, RNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RNO
Context triple: [Reno–Tahoe International Airport, IATAcode, RNO]
  • A. Ró
    Ró is a shortened given name or nickname derived from the name Róbert.
  • B. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • C. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • D. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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: RNO
Triple: [Reno–Tahoe International Airport, IATAcode, RNO]
Generated description
RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RNO
Target entity description: RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • A. Ró
    Ró is a shortened given name or nickname derived from the name Róbert.
  • B. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • C. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • D. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69d10188190b78bece656249ecd completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c122e881908f0640edc5aaf305 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.