Triple
T4610720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladivostok International Airport |
E100547
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
UHWW
UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
|
E456277
|
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: UHWW | Statement: [Vladivostok International Airport, ICAO code, UHWW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UHWW Context triple: [Vladivostok International Airport, ICAO code, UHWW]
-
A.
UUWW
UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
-
B.
UWWW
UWWW is the ICAO airport code for Kurumoch International Airport, a major airport serving the Samara region in Russia.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
UUBW
UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
- 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: UHWW Triple: [Vladivostok International Airport, ICAO code, UHWW]
Generated description
UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UHWW Target entity description: UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
-
A.
UUWW
UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
-
B.
UWWW
UWWW is the ICAO airport code for Kurumoch International Airport, a major airport serving the Samara region in Russia.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
UUBW
UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa7e918881908743818e0645da46 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb6fa3fc8190b79b641025710eb1 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:12 p.m.