Triple
T8017848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märklin |
E186664
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Märklin Start up |
E186664
|
NE FINISHED |
How this triple was built (2 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: Märklin Start up | Statement: [Märklin, brand, Märklin Start up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Märklin Start up Context triple: [Märklin, brand, Märklin Start up]
-
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.
Liliputbahn
Liliputbahn is a narrow-gauge miniature railway in Vienna’s Prater amusement park that carries visitors on scenic rides through the park grounds.
-
C.
Märklin Museum in Göppingen
The Märklin Museum in Göppingen is a company museum dedicated to showcasing the history, products, and model railway heritage of the German manufacturer Märklin.
-
D.
M-Line Trolley
M-Line Trolley is a heritage streetcar system operating in Dallas, Texas, providing free public transportation along the McKinney Avenue and Uptown areas.
-
E.
Siemens-Duewag U2
The Siemens-Duewag U2 is a high-floor light rail vehicle widely used in North American transit systems, notably in early expansions of Calgary’s CTrain network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cc93b18a6c81908a3a4bc25552d97b |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:20 p.m.