Triple

T16302934
Position Surface form Disambiguated ID Type / Status
Subject Skyactiv-G engine E395834 entity
Predicate emissionStandardTarget P122602 FINISHED
Object reduced CO2 emissions 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: reduced CO2 emissions | Statement: [Skyactiv-G engine, emissionStandardTarget, reduced CO2 emissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emissionStandardTarget
Context triple: [Skyactiv-G engine, emissionStandardTarget, reduced CO2 emissions]
  • A. emissionCharacteristic
    Indicates a relationship where an entity is associated with a specific property or quality of its emissions (such as type, level, or pattern of emission).
  • B. emissionType
    Indicates the specific category or kind of emission associated with an entity or activity.
  • C. emissionsStandardEarlyModels
    Indicates that earlier versions or models comply with a specified emissions standard or regulation.
  • D. emissionsControl
    Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
  • E. emissionsComparedToPredecessor
    Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
  • F. None of above. chosen

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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e3404288190a7106d62c15c3193 completed April 17, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:06 a.m.