Triple

T20314568
Position Surface form Disambiguated ID Type / Status
Subject Netinera E510344 entity
Predicate hasBrand P1500 FINISHED
Object Die Länderbahn NE NERFINISHED

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: Die Länderbahn | Statement: [Netinera, hasBrand, Die Länderbahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die Länderbahn
Context triple: [Netinera, hasBrand, Die Länderbahn]
  • A. Die Länderbahn chosen
    Die Länderbahn is a German regional railway company operating passenger train services across several federal states, particularly in eastern and southern Germany.
  • B. The Railway
    The Railway is an 1873 oil painting by Édouard Manet depicting a woman and a young girl by a Paris train station, notable for its modern urban subject and unconventional composition.
  • C. The People's Train
    The People's Train is a historical novel by Australian author Thomas Keneally that follows a Russian revolutionary exile in early 20th-century Australia.
  • D. Il trenino
    "Il trenino" is a memorable musical piece by Nino Rota from his score for Federico Fellini’s film *Amarcord*, known for its whimsical, nostalgic atmosphere.
  • E. The Trainman
    The Trainman is a character in The Matrix film series who oversees transportation between the Matrix and the Machine world, acting as a gatekeeper of the digital limbo known as the Train Station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.