Triple
T23233700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vigo Airport |
E581229
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LEVX
LEVX is the ICAO airport code for Vigo Airport, a regional international airport serving the city of Vigo in Galicia, Spain.
|
E1576687
|
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: LEVX | Statement: [Vigo Airport, ICAOcode, LEVX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEVX Context triple: [Vigo Airport, ICAOcode, LEVX]
-
A.
LEVC
LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
-
B.
Evvy
Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
-
C.
Vy Mobility
Vy Mobility is a Norwegian transport company within the Vy Group that operates bus and other mobility services across Norway and parts of Scandinavia.
-
D.
EVZ
EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
-
E.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
- 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: LEVX Triple: [Vigo Airport, ICAOcode, LEVX]
Generated description
LEVX is the ICAO airport code for Vigo Airport, a regional international airport serving the city of Vigo in Galicia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEVX Target entity description: LEVX is the ICAO airport code for Vigo Airport, a regional international airport serving the city of Vigo in Galicia, Spain.
-
A.
LEVC
LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
-
B.
Evvy
Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
-
C.
Vy Mobility
Vy Mobility is a Norwegian transport company within the Vy Group that operates bus and other mobility services across Norway and parts of Scandinavia.
-
D.
EVZ
EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
-
E.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e7bed88190b914b238c5f49860 |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f59de808190afb414450ac32d0d |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c4008c4a881908ad49e733b549036 |
completed | May 19, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40c6562481908689eca2a4997115 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:09 p.m.