Triple

T14818623
Position Surface form Disambiguated ID Type / Status
Subject Canoas Air Base E348384 entity
Predicate IATACode P418 FINISHED
Object QNS
QNS is the IATA airport code assigned to Canoas Air Base in Canoas, Brazil.
E1121543 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: QNS | Statement: [Canoas Air Base, IATACode, QNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QNS
Context triple: [Canoas Air Base, IATACode, QNS]
  • A. QNS&L
    QNS&L is a Canadian heavy freight railway serving the Quebec North Shore and Labrador region, primarily transporting iron ore from remote mining operations to coastal ports.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. Qus
    Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
  • D. QAS
    QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
  • E. 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.
  • 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: QNS
Triple: [Canoas Air Base, IATACode, QNS]
Generated description
QNS is the IATA airport code assigned to Canoas Air Base in Canoas, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QNS
Target entity description: QNS is the IATA airport code assigned to Canoas Air Base in Canoas, Brazil.
  • A. QNS&L
    QNS&L is a Canadian heavy freight railway serving the Quebec North Shore and Labrador region, primarily transporting iron ore from remote mining operations to coastal ports.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. Qus
    Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
  • D. QAS
    QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
  • E. 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.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a315d2c81908db44e7792908e39 completed May 8, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69fe3bda81cc8190b256ec6284383dde completed May 8, 2026, 7:39 p.m.
Created at: April 10, 2026, 1:50 a.m.