Triple

T30360551
Position Surface form Disambiguated ID Type / Status
Subject Audi A3 e-tron E772270 entity
Predicate combustionEngineDisplacement P7998 FINISHED
Object 1.4 L 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: 1.4 L | Statement: [Audi A3 e-tron, combustionEngineDisplacement, 1.4 L]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: combustionEngineDisplacement
Context triple: [Audi A3 e-tron, combustionEngineDisplacement, 1.4 L]
  • A. engineDisplacement chosen
    Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
  • B. availableEngineDisplacement
    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. displacementPerCylinder
    Indicates the volume of space displaced by the piston in a single cylinder during one complete stroke or cycle.
  • E. enginePower
    Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
  • 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68242fc208190ae8a9ab1a4bdccfd completed May 2, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 7:57 p.m.