Triple
T12999109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorano GT Challenge |
E322119
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Maurer Söhne
Maurer Söhne is a German engineering company best known for designing and manufacturing roller coasters and amusement rides.
|
E1015332
|
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: Maurer Söhne | Statement: [Fiorano GT Challenge, manufacturer, Maurer Söhne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurer Söhne Context triple: [Fiorano GT Challenge, manufacturer, Maurer Söhne]
-
A.
Saurer-Werke
Saurer-Werke was an Austrian industrial company best known for producing military vehicles, trucks, and armored fighting vehicles.
-
B.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
-
C.
Schwabe
Schwabe is the family name of British character actor Cecil Parker, known for his distinguished supporting roles in mid-20th-century cinema.
-
D.
Hasche-Mann
Hasche-Mann is a brief, playful piano piece by Robert Schumann from his Kinderszenen (Scenes from Childhood), often interpreted as depicting a lively game of tag.
-
E.
Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
- 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: Maurer Söhne Triple: [Fiorano GT Challenge, manufacturer, Maurer Söhne]
Generated description
Maurer Söhne is a German engineering company best known for designing and manufacturing roller coasters and amusement rides.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurer Söhne Target entity description: Maurer Söhne is a German engineering company best known for designing and manufacturing roller coasters and amusement rides.
-
A.
Saurer-Werke
Saurer-Werke was an Austrian industrial company best known for producing military vehicles, trucks, and armored fighting vehicles.
-
B.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
-
C.
Schwabe
Schwabe is the family name of British character actor Cecil Parker, known for his distinguished supporting roles in mid-20th-century cinema.
-
D.
Hasche-Mann
Hasche-Mann is a brief, playful piano piece by Robert Schumann from his Kinderszenen (Scenes from Childhood), often interpreted as depicting a lively game of tag.
-
E.
Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c101ea60819098e4d5fb3a9e803a |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 9, 2026, 8:46 p.m.