Triple
T3346265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencia Airport |
E70381
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
VLC
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
|
E350367
|
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: VLC | Statement: [Valencia Airport, IATAcode, VLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VLC Context triple: [Valencia Airport, IATAcode, VLC]
-
A.
Plex
Plex is a media server and streaming platform that lets users organize, stream, and access their personal and online media libraries across various devices.
-
B.
Windows Media Player
Windows Media Player is Microsoft’s built-in multimedia application for playing audio, video, and streaming media on Windows operating systems.
-
C.
SVT Play
SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
-
D.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
E.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
- 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: VLC Triple: [Valencia Airport, IATAcode, VLC]
Generated description
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VLC Target entity description: VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
-
A.
Plex
Plex is a media server and streaming platform that lets users organize, stream, and access their personal and online media libraries across various devices.
-
B.
Windows Media Player
Windows Media Player is Microsoft’s built-in multimedia application for playing audio, video, and streaming media on Windows operating systems.
-
C.
SVT Play
SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
-
D.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
E.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.