Triple

T8017845
Position Surface form Disambiguated ID Type / Status
Subject Märklin E186664 entity
Predicate brand P1500 FINISHED
Object Märklin Z 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 Z | Statement: [Märklin, brand, Märklin Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märklin Z
Context triple: [Märklin, brand, Märklin Z]
  • 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. Z 5600 EMU
    The Z 5600 EMU is a class of French electric multiple unit trains built for suburban commuter services around Paris, notably operating on the RER network.
  • C. Z 20500 EMU
    The Z 20500 EMU is a class of double-deck electric multiple unit trains operated by SNCF in the Paris suburban network, notably on lines such as the RER.
  • D. 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.
  • E. 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.
  • 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_69cc63c4937c8190999a156299299ab3 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:20 p.m.