Triple

T16266412
Position Surface form Disambiguated ID Type / Status
Subject Moto3 E394886 entity
Predicate engineDisplacementLimit P4162 FINISHED
Object 250 cc LITERAL 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: 250 cc | Statement: [Moto3, engineDisplacementLimit, 250 cc]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineDisplacementLimit
Context triple: [Moto3, engineDisplacementLimit, 250 cc]
  • A. engineDisplacement
    Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
  • B. availableEngineDisplacement chosen
    Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
  • C. hasEngineDisplacementClass
    Indicates a relationship where a vehicle or engine is assigned to a category based on the size or volume of its engine displacement.
  • D. enginePower
    Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
  • E. displacementPerCylinder
    Indicates the volume of space displaced by the piston in a single cylinder during one complete stroke or cycle.
  • F. None of above.

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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69e219f259e88190bf49d8408c04178e completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:05 a.m.