Triple

T17527612
Position Surface form Disambiguated ID Type / Status
Subject Quincy Regional Airport E426840 entity
Predicate ICAOcode P419 FINISHED
Object KUIN
KUIN is the ICAO airport code for Quincy Regional Airport, a public airport serving Quincy, Illinois, in the United States.
 E1273492 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: KUIN | Statement: [Quincy Regional Airport, ICAOcode, KUIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUIN
Context triple: [Quincy Regional Airport, ICAOcode, KUIN]
  • A. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • B. KU
    KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
  • C. KU
    KU is the abbreviated name of Sweden’s parliamentary Committee on the Constitution, which oversees constitutional matters and scrutinizes government activities.
  • D. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • E. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • 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: KUIN
Triple: [Quincy Regional Airport, ICAOcode, KUIN]
Generated description
KUIN is the ICAO airport code for Quincy Regional Airport, a public airport serving Quincy, Illinois, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUIN
Target entity description: KUIN is the ICAO airport code for Quincy Regional Airport, a public airport serving Quincy, Illinois, in the United States.
  • A. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • B. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • C. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • D. KU
    KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
  • E. KU
    KU is the abbreviated name of Sweden’s parliamentary Committee on the Constitution, which oversees constitutional matters and scrutinizes government activities.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d7523c819099278507e4a718d4 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9494c28819086d10adb536ffed8 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca2927f081908856b2d206776e44 completed May 11, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a01caa5d0c8819085dea57b00c498e0 completed May 11, 2026, 12:25 p.m.
Created at: April 10, 2026, 5:49 a.m.