Triple

T2295230
Position Surface form Disambiguated ID Type / Status
Subject Singapore Airlines E51597 entity
Predicate IATAcode P418 FINISHED
Object SQ
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
 E253609 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: SQ | Statement: [Singapore Airlines, IATAcode, SQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SQ
Context triple: [Singapore Airlines, IATAcode, SQ]
  • A. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. The Q
    The Q is the former nickname of Rocket Mortgage FieldHouse, a major indoor arena in downtown Cleveland that hosts NBA games, concerts, and other large events.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • 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: SQ
Triple: [Singapore Airlines, IATAcode, SQ]
Generated description
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SQ
Target entity description: SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • A. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. The Q
    The Q is the former nickname of Rocket Mortgage FieldHouse, a major indoor arena in downtown Cleveland that hosts NBA games, concerts, and other large events.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f2654e4819090dea196cf38652e completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fd6e8608190b48f3a50ee62d664 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae804b402c81909a5fc68c6ee3decb completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:49 p.m.