Triple
T14138852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencia Airport |
E350368
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | VLC |
E350367
|
NE FINISHED |
How this triple was built (2 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.
VLC
chosen
VLC is the three-letter IATA airport code assigned to Valencia Airport in Spain.
-
B.
VLC media player
VLC media player is a free, open-source, cross-platform multimedia player and framework known for playing a vast range of audio and video formats without needing additional codecs.
-
C.
MPlayer
MPlayer is a free, open-source, cross-platform media player known for supporting a wide range of audio and video formats via command-line and GUI front-ends.
-
D.
Kodi
Kodi is the given name of Australian actor Kodi Smit-McPhee, known for roles in films such as "The Power of the Dog" and the "X-Men" series.
-
E.
GNOME Videos
GNOME Videos is the default video player for the GNOME desktop environment, designed for simple, integrated playback of local and online media.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e655908190bf81dcbad1b10292 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:40 a.m.