Triple

T16386416
Position Surface form Disambiguated ID Type / Status
Subject Alliance Airlines E397933 entity
Predicate IATACode P418 FINISHED
Object QQ
QQ is the IATA airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
E1210312 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: QQ | Statement: [Alliance Airlines, IATACode, QQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QQ
Context triple: [Alliance Airlines, IATACode, QQ]
  • A. QQ
    QQ is a popular Chinese instant messaging and social platform developed by Tencent, offering chat, entertainment, and digital services to hundreds of millions of users.
  • B. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • C. QQQ
    QQQ is a popular exchange-traded fund (ETF) that tracks the performance of the Nasdaq-100 Index, providing exposure to many of the largest non-financial companies listed on the Nasdaq stock market.
  • D. IQQ
    IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
  • E. WeChat
    WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
  • 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: QQ
Triple: [Alliance Airlines, IATACode, QQ]
Generated description
QQ is the IATA airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QQ
Target entity description: QQ is the IATA airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
  • A. QQ
    QQ is a popular Chinese instant messaging and social platform developed by Tencent, offering chat, entertainment, and digital services to hundreds of millions of users.
  • B. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • C. QQQ
    QQQ is a popular exchange-traded fund (ETF) that tracks the performance of the Nasdaq-100 Index, providing exposure to many of the largest non-financial companies listed on the Nasdaq stock market.
  • D. IQQ
    IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
  • E. WeChat
    WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356cf44081909133b599cfe9ed4a completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00369391a08190bb5521e2fcc839c6 completed May 10, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00374326948190ae039bc689054387 completed May 10, 2026, 7:44 a.m.
Created at: April 10, 2026, 5:08 a.m.