Triple

T8407655
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Silver Star E198539 entity
Predicate class P87 FINISHED
Object Silver Service E216280 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: Silver Service | Statement: [Amtrak Silver Star, class, Silver Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Service
Context triple: [Amtrak Silver Star, class, Silver Service]
  • A. Silver Service chosen
    Silver Service is Amtrak’s branded pair of long-distance passenger train routes running along the U.S. East Coast between New York City and Florida.
  • B. Silver Pavilion
    The Silver Pavilion is the iconic main hall of Kyoto’s Ginkaku-ji temple, renowned for its understated Zen aesthetics and influence on Japanese art and culture.
  • C. Silver End
    Silver End is a planned village in Essex, England, originally developed in the 1920s to house workers of the Crittall window factory and noted for its distinctive modernist architecture.
  • D. Silver Shell
    The Silver Shell is a major competitive prize at the San Sebastián International Film Festival, awarded to recognize outstanding achievements in categories such as acting and directing.
  • E. Silver Spoons
    Silver Spoons is an American 1980s sitcom about a wealthy, immature toy-company owner and his young son learning to live together, which helped launch the early career of actor Jason Bateman.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb831409308190981089c303ebaef4 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.