Triple
T4212046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düsseldorfer EG |
E93923
|
entity |
| Predicate | homeGamesCity |
P50896
|
FINISHED |
| Object | Düsseldorf |
E36993
|
NE FINISHED |
How this triple was built (3 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: Düsseldorf | Statement: [Düsseldorfer EG, homeGamesCity, Düsseldorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Düsseldorf Context triple: [Düsseldorfer EG, homeGamesCity, Düsseldorf]
-
A.
Düsseldorf
chosen
Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
-
B.
Cologne
Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
-
C.
Duisburg
Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
-
D.
Krefeld
Krefeld is a city in western Germany near the Rhine River, known historically for its textile and silk industry.
-
E.
Wuppertal
Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeGamesCity Context triple: [Düsseldorfer EG, homeGamesCity, Düsseldorf]
-
A.
homeGamesVenueCity
chosen
Indicates the city where a team’s home games are played.
-
B.
game5City
Indicates that a particular game or sporting event took place in, or is associated with, a specific city.
-
C.
cityOfGames
Indicates that a location is recognized as a major center or hub for games, gaming activities, or the games industry.
-
D.
game2City
Indicates a relationship where a game is associated with, takes place in, or is otherwise linked to a particular city.
-
E.
homeGamesOf
Indicates that the subject is a home game (or set of home games) played by the specified team or entity.
- F. None of above.
Provenance (4 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11c83f8bc8190bdf139c9da2dd66b |
completed | March 23, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.