Triple

T2144884
Position Surface form Disambiguated ID Type / Status
Subject Florennes Air Base E47040 entity
Predicate IATACode P418 FINISHED
Object QFO
QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
 E236973 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: QFO | Statement: [Florennes Air Base, IATACode, QFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QFO
Context triple: [Florennes Air Base, IATACode, QFO]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • D. FiO
    FiO is the commonly used abbreviation for Frontiers in Optics, a major annual conference focused on advances in optical science and engineering.
  • E. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • 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: QFO
Triple: [Florennes Air Base, IATACode, QFO]
Generated description
QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QFO
Target entity description: QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • D. FiO
    FiO is the commonly used abbreviation for Frontiers in Optics, a major annual conference focused on advances in optical science and engineering.
  • E. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe243e248190848bb1b86047f980 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.