Triple
T6946531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Australia |
E160812
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
VOZ
VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
|
E631273
|
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: VOZ | Statement: [Virgin Australia, ICAOCode, VOZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOZ Context triple: [Virgin Australia, ICAOCode, VOZ]
-
A.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
-
B.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
C.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
D.
Голос
«Голос» — украинская политическая партия, основанная в 2019 году, известная своей проевропейской и реформаторской повесткой.
-
E.
The Voices
The Voices is a dark comedy horror film starring Ryan Reynolds as a disturbed factory worker who converses with his talking pets, blurring the line between delusion and reality.
- 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: VOZ Triple: [Virgin Australia, ICAOCode, VOZ]
Generated description
VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VOZ Target entity description: VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
-
A.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
-
B.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
C.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
D.
Голос
«Голос» — украинская политическая партия, основанная в 2019 году, известная своей проевропейской и реформаторской повесткой.
-
E.
The Voices
The Voices is a dark comedy horror film starring Ryan Reynolds as a disturbed factory worker who converses with his talking pets, blurring the line between delusion and reality.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75870719481908312b387a3c6ce81 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759d65a008190a6121949651dcd5c |
completed | March 28, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a7a0af88190abf9d1dc4efd8b29 |
completed | March 28, 2026, 4:35 a.m. |
Created at: March 27, 2026, 2:28 p.m.