Triple
T19033696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilnius Airport |
E465809
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
VNO
VNO is the IATA airport code for Vilnius Airport, the main international airport serving Lithuania’s capital city.
|
E1354899
|
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: VNO | Statement: [Vilnius Airport, IATAcode, VNO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VNO Context triple: [Vilnius Airport, IATAcode, VNO]
-
A.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
B.
VNK
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
-
C.
NVO
NVO is the stock ticker symbol for Novo Nordisk, a global pharmaceutical company best known for its diabetes care products.
-
D.
VNNG
VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
-
E.
VOI
VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
- 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: VNO Triple: [Vilnius Airport, IATAcode, VNO]
Generated description
VNO is the IATA airport code for Vilnius Airport, the main international airport serving Lithuania’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VNO Target entity description: VNO is the IATA airport code for Vilnius Airport, the main international airport serving Lithuania’s capital city.
-
A.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
B.
VNK
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
-
C.
NVO
NVO is the stock ticker symbol for Novo Nordisk, a global pharmaceutical company best known for its diabetes care products.
-
D.
VNNG
VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
-
E.
VOI
VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be5cb2b08190aa82bc001542528c |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf2efb588190b530183f406d3594 |
completed | May 14, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bfc5e5448190baca381badc5be79 |
completed | May 14, 2026, 12:27 p.m. |
Created at: April 10, 2026, 12:02 p.m.