Triple

T16470847
Position Surface form Disambiguated ID Type / Status
Subject Class 5MT E400054 entity
Predicate appliedTo P1129 FINISHED
Object LMS Black Five E400051 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: LMS Black Five | Statement: [Class 5MT, appliedTo, LMS Black Five]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMS Black Five
Context triple: [Class 5MT, appliedTo, LMS Black Five]
  • A. LMS Black Five
    LMS Black Five is a highly successful and versatile class of British mixed-traffic steam locomotives designed by William Stanier for widespread use across the LMS network.
  • B. Black Five chosen
    Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
  • C. Blitz
    Blitz is the costumed team mascot for the Washington Valor arena football franchise, entertaining fans at games and team events.
  • D. Blitz
    Blitz is a British television drama series set during the London Blitz of World War II, known for featuring actress Lydia Wilson in a prominent role.
  • E. Blitz
    Blitz is a film produced by Steven Chasman, best known as a British crime thriller starring Jason Statham as a tough cop hunting a serial killer targeting police officers.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd0d2fc81909b68b5afb00f192f completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581c24508190b4888357828fed80 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:11 a.m.