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.