Triple

T11375633
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 802 E269459 entity
Predicate dieselEngineManufacturer P86295 FINISHED
Object MTU E745146 NE FINISHED

How this triple was built (3 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: MTU | Statement: [British Rail Class 802, dieselEngineManufacturer, MTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTU
Context triple: [British Rail Class 802, dieselEngineManufacturer, MTU]
  • A. MTU
    MTU is a public research university in Houghton, Michigan, known for its strong engineering, technology, and science programs.
  • B. MTU chosen
    MTU is a German brand best known for its high-performance diesel engines and propulsion systems used in marine, industrial, and power generation applications.
  • C. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • D. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • E. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dieselEngineManufacturer
Context triple: [British Rail Class 802, dieselEngineManufacturer, MTU]
  • A. engineBrand chosen
    Indicates that one entity is the brand or manufacturer of the engine used by another entity.
  • B. aircraftEngineManufacturer
    Indicates that one entity is the manufacturer of the aircraft engine used by another entity.
  • C. cylinderHeadBrand
    Indicates the brand or manufacturer associated with a cylinder head.
  • D. engineSupplier
    Indicates a relationship where one entity supplies or provides engines to another entity.
  • E. carManufacturer
    Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
  • F. None of above.

Provenance (4 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69d7e7022d508190996f9be0847c2b41 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.