Triple

T1791927
Position Surface form Disambiguated ID Type / Status
Subject Viewliner sleeping cars E39514 entity
Predicate usedOn P2367 FINISHED
Object Silver Meteor E5634 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 Meteor | Statement: [Viewliner sleeping cars, usedOn, Silver Meteor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Meteor
Context triple: [Viewliner sleeping cars, usedOn, Silver Meteor]
  • A. Silver Meteor chosen
    The Silver Meteor is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City and Miami.
  • B. Météores
    Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
  • C. Silver Rays
    Silver Rays is a mid-level class of decoration within Japan’s Order of the Sacred Treasure, awarded for distinguished service in various fields.
  • D. Silver Lady
    Silver Lady is a nostalgic nickname evoking the streamlined elegance and scenic luxury of the historic California Zephyr passenger train.
  • E. Northern Star
    Northern Star was a prominent 19th-century British Chartist newspaper that served as a key voice and organizing tool for the working-class political reform movement.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65392b2c81909bf4d619bd347f54 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.