Triple
T8720765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tours Val de Loire Airport |
E207004
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
TUF
TUF is the IATA airport code for Tours Val de Loire Airport, a regional airport serving the city of Tours and the Loire Valley region in central France.
|
E754133
|
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: TUF | Statement: [Tours Val de Loire Airport, IATAcode, TUF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUF Context triple: [Tours Val de Loire Airport, IATAcode, TUF]
-
A.
TUF Finale
TUF Finale is the live mixed martial arts event series that serves as the culminating fight card for each season of the reality show The Ultimate Fighter.
-
B.
T6
T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
-
C.
T6
T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
-
D.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
E.
TNT
TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
- 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: TUF Triple: [Tours Val de Loire Airport, IATAcode, TUF]
Generated description
TUF is the IATA airport code for Tours Val de Loire Airport, a regional airport serving the city of Tours and the Loire Valley region in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUF Target entity description: TUF is the IATA airport code for Tours Val de Loire Airport, a regional airport serving the city of Tours and the Loire Valley region in central France.
-
A.
TUF Finale
TUF Finale is the live mixed martial arts event series that serves as the culminating fight card for each season of the reality show The Ultimate Fighter.
-
B.
T6
T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
-
C.
T6
T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
-
D.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
E.
TNT
TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d03f0848190a50c77e5cd028ee7 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd222b08190907ba7e98991996e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2fcb5e7c819086b441d1ef4fc368 |
completed | April 3, 2026, 3:11 a.m. |
Created at: March 30, 2026, 6:36 p.m.