Triple

T10596064
Position Surface form Disambiguated ID Type / Status
Subject WAT E250114 entity
Predicate hasIataCode P2569 FINISHED
Object QQW
QQW is the IATA airport code assigned to WAT, identifying a specific airport in the international air transport system.
E874407 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: QQW | Statement: [WAT, hasIataCode, QQW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QQW
Context triple: [WAT, hasIataCode, QQW]
  • 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. IQQ
    IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
  • C. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • D. QG
    QG is the abbreviation for the Quetta Gladiators, a professional Twenty20 cricket franchise that competes in Pakistan's Super League.
  • E. QG
    QG is the IATA airline designator for Citilink, a low-cost carrier based in Indonesia.
  • 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: QQW
Triple: [WAT, hasIataCode, QQW]
Generated description
QQW is the IATA airport code assigned to WAT, identifying a specific airport in the international air transport system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QQW
Target entity description: QQW is the IATA airport code assigned to WAT, identifying a specific airport in the international air transport system.
  • 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. IQQ
    IQQ is the IATA airport code for Diego Aracena International Airport, which serves the city of Iquique in northern Chile.
  • C. QQP
    QQP is the National Rail station code used to identify London Paddington railway station in the United Kingdom.
  • D. QG
    QG is the abbreviation for the Quetta Gladiators, a professional Twenty20 cricket franchise that competes in Pakistan's Super League.
  • E. QG
    QG is the IATA airline designator for Citilink, a low-cost carrier based in Indonesia.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278dacc4819089b759744f100e5f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e955d908190a5b26faf2558d78c completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d96145d1ec8190b3228733159e1364 completed April 10, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 6, 2026, 12:41 p.m.