Triple
T8017865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märklin |
E186664
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object |
Minitrix
Minitrix is a model railway brand best known for its N scale trains and accessories, originally developed by Trix and now produced under Märklin.
|
E186664
|
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: Minitrix | Statement: [Märklin, hasSubsidiaryBrand, Minitrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minitrix Context triple: [Märklin, hasSubsidiaryBrand, Minitrix]
-
A.
Märklin
Märklin is a renowned German manufacturer of model railways and technical toys, known for its high-quality trains and detailed miniature systems.
-
B.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
-
C.
Brick
Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
-
D.
Tinker Toy
Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
-
E.
Revell
Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
- 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: Minitrix Triple: [Märklin, hasSubsidiaryBrand, Minitrix]
Generated description
Minitrix is a model railway brand best known for its N scale trains and accessories, originally developed by Trix and now produced under Märklin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minitrix Target entity description: Minitrix is a model railway brand best known for its N scale trains and accessories, originally developed by Trix and now produced under Märklin.
-
A.
Märklin
chosen
Märklin is a renowned German manufacturer of model railways and technical toys, known for its high-quality trains and detailed miniature systems.
-
B.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
-
C.
Brick
Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
-
D.
Tinker Toy
Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
-
E.
Revell
Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
- F. None of above.
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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbaefb481909eb325f0d27675c0 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:20 p.m.