Triple

T750457
Position Surface form Disambiguated ID Type / Status
Subject O'Hare International Airport E15435 entity
Predicate IATAcode P418 FINISHED
Object ORD
ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
 E89046 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: ORD | Statement: [O'Hare International Airport, IATAcode, ORD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORD
Context triple: [O'Hare International Airport, IATAcode, ORD]
  • A. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • B. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • C. OAR
    OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
  • D. ORY
    ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • E. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • 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: ORD
Triple: [O'Hare International Airport, IATAcode, ORD]
Generated description
ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORD
Target entity description: ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
  • A. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • B. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • C. OAR
    OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
  • D. ORY
    ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • E. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e8d80481908505896fb6ead36b completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655c79044819098e36081b754c9be completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65638cd5881908b421d9d8a90291b completed March 3, 2026, 3:32 a.m.
Created at: March 1, 2026, 7:37 p.m.