Triple

T16820787
Position Surface form Disambiguated ID Type / Status
Subject Concord-Padgett Regional Airport E408883 entity
Predicate ICAOcode P419 FINISHED
Object KJQF
KJQF is the ICAO airport code for Concord-Padgett Regional Airport in Concord, North Carolina, which serves general aviation and regional air traffic near the Charlotte metropolitan area.
E1235281 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: KJQF | Statement: [Concord-Padgett Regional Airport, ICAOcode, KJQF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KJQF
Context triple: [Concord-Padgett Regional Airport, ICAOcode, KJQF]
  • A. KQH
    KQH is the IATA airport code assigned to Kishangarh Airport serving the Ajmer region in Rajasthan, India.
  • B. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • C. KCRQ
    KCRQ is the ICAO airport code for McClellan–Palomar Airport, a public airport serving Carlsbad in San Diego County, California.
  • D. KJHW
    KJHW is the ICAO airport code for Chautauqua County–Jamestown Airport in Jamestown, New York.
  • E. QF
    QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
  • 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: KJQF
Triple: [Concord-Padgett Regional Airport, ICAOcode, KJQF]
Generated description
KJQF is the ICAO airport code for Concord-Padgett Regional Airport in Concord, North Carolina, which serves general aviation and regional air traffic near the Charlotte metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KJQF
Target entity description: KJQF is the ICAO airport code for Concord-Padgett Regional Airport in Concord, North Carolina, which serves general aviation and regional air traffic near the Charlotte metropolitan area.
  • A. KQH
    KQH is the IATA airport code assigned to Kishangarh Airport serving the Ajmer region in Rajasthan, India.
  • B. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • C. KCRQ
    KCRQ is the ICAO airport code for McClellan–Palomar Airport, a public airport serving Carlsbad in San Diego County, California.
  • D. KJHW
    KJHW is the ICAO airport code for Chautauqua County–Jamestown Airport in Jamestown, New York.
  • E. QF
    QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e6b59c8190ad562a80e71ce54c completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b32d2a588190b59bad56f8817bce completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.