Triple

T557465
Position Surface form Disambiguated ID Type / Status
Subject Fluids Engineering Division E11973 entity
Predicate abbreviation P43 FINISHED
Object FED E11973 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: FED | Statement: [Fluids Engineering Division, abbreviation, FED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FED
Context triple: [Fluids Engineering Division, abbreviation, FED]
  • A. FED chosen
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • B. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • C. FRB
    FRB is the commonly used abbreviation for the Federal Reserve Board of Governors, the central governing body of the U.S. Federal Reserve System that oversees national monetary policy and banking regulation.
  • D. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • E. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499dd84ec81909d2b309da057b9c6 completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e644f41c819099743a6c4f2815e4 completed March 2, 2026, 1:22 a.m.
Created at: March 1, 2026, 7:32 p.m.