Triple
T1345310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vueling |
E28556
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VLG
VLG is the ICAO airline designator used to identify Vueling, a Spanish low-cost carrier based in Barcelona.
|
E153467
|
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: VLG | Statement: [Vueling, ICAOcode, VLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VLG Context triple: [Vueling, ICAOcode, VLG]
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
C.
VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
-
D.
LGW
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
E.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
- 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: VLG Triple: [Vueling, ICAOcode, VLG]
Generated description
VLG is the ICAO airline designator used to identify Vueling, a Spanish low-cost carrier based in Barcelona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VLG Target entity description: VLG is the ICAO airline designator used to identify Vueling, a Spanish low-cost carrier based in Barcelona.
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
C.
VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
-
D.
LGW
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
E.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23d696c8190bb688274280cb680 |
completed | March 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc6351cbc81909e2ffc692ee92b54 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6af0db88190a02936072783553e |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc722d8608190acbef82f180b75d1 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:56 p.m.