Triple

T7525843
Position Surface form Disambiguated ID Type / Status
Subject Diego Aracena International Airport E177889 entity
Predicate IATAcode P418 FINISHED
Object IQQ
IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
 E669635 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: IQQ | Statement: [Diego Aracena International Airport, IATAcode, IQQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IQQ
Context triple: [Diego Aracena International Airport, IATAcode, IQQ]
  • A. 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.
  • B. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • C. 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.
  • D. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • 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: IQQ
Triple: [Diego Aracena International Airport, IATAcode, IQQ]
Generated description
IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IQQ
Target entity description: IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
  • A. 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.
  • B. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • C. 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.
  • D. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c7ac5c8190bbf9befdff791de0 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84635feb881908930bf355ac56a47 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:46 p.m.