Triple

T9631059
Position Surface form Disambiguated ID Type / Status
Subject RAF Lossiemouth E232803 entity
Predicate ICAOCode P419 FINISHED
Object EGQS
EGQS is the ICAO airport code for RAF Lossiemouth, a major Royal Air Force station and military airfield in northeast Scotland.
 E812066 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: EGQS | Statement: [RAF Lossiemouth, ICAOCode, EGQS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGQS
Context triple: [RAF Lossiemouth, ICAOCode, EGQS]
  • A. EGQL
    EGQL is the ICAO airport code assigned to RAF Leuchars, a Royal Air Force station and airfield in Scotland.
  • B. EGS
    EGS is a NASA program responsible for developing and operating the ground infrastructure and launch processing systems that support the agency’s deep space exploration missions, including Artemis.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • E. EQF
    EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • 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: EGQS
Triple: [RAF Lossiemouth, ICAOCode, EGQS]
Generated description
EGQS is the ICAO airport code for RAF Lossiemouth, a major Royal Air Force station and military airfield in northeast Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGQS
Target entity description: EGQS is the ICAO airport code for RAF Lossiemouth, a major Royal Air Force station and military airfield in northeast Scotland.
  • A. EGQL
    EGQL is the ICAO airport code assigned to RAF Leuchars, a Royal Air Force station and airfield in Scotland.
  • B. EGS
    EGS is a NASA program responsible for developing and operating the ground infrastructure and launch processing systems that support the agency’s deep space exploration missions, including Artemis.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • E. EQF
    EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2621408190bfe2ea5a05359ee0 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d183c71a44819092f556c8b1301fca completed April 4, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69d1842ba7088190bc663ede36b2d396 completed April 4, 2026, 9:35 p.m.
Created at: March 30, 2026, 8:11 p.m.