Triple

T552821
Position Surface form Disambiguated ID Type / Status
Subject Qatar Airways E11877 entity
Predicate IATAcode P418 FINISHED
Object QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
 E69315 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: QR | Statement: [Qatar Airways, IATAcode, QR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QR
Context triple: [Qatar Airways, IATAcode, QR]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • 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: QR
Triple: [Qatar Airways, IATAcode, QR]
Generated description
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QR
Target entity description: QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f90058819081167bac387f8023 completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e497da648190b9e07fe94488be0d completed March 2, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69a4e525eb18819083018d392ba4b2fa completed March 2, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:32 p.m.