Triple
T8283370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortuna Düsseldorf |
E193732
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Fortuna
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
|
E723403
|
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: Fortuna | Statement: [Fortuna Düsseldorf, shortName, Fortuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortuna Context triple: [Fortuna Düsseldorf, shortName, Fortuna]
-
A.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
B.
Felicitas
Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
-
C.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
-
D.
Fortune
Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
-
E.
Fortune
Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
- 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: Fortuna Triple: [Fortuna Düsseldorf, shortName, Fortuna]
Generated description
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fortuna Target entity description: Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
-
A.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
B.
Felicitas
Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
-
C.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
-
D.
Fortune
Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
-
E.
Fortune
Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7aceec8881909cdfa488dfedc0f5 |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6877b8e481908ec1e0b91a5276f6 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e20f71c8190959319c6683a2810 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:52 p.m.