Triple

T30145480
Position Surface form Disambiguated ID Type / Status
Subject MAN Lion’s City Hybrid E766241 entity
Predicate emissionReductionGoal P99026 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: [MAN Lion’s City Hybrid, emissionReductionGoal, reduced CO2 emissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emissionReductionGoal
Context triple: [MAN Lion’s City Hybrid, emissionReductionGoal, reduced CO2 emissions]
  • A. environmentalProtectionGoal
    Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
  • B. environmentalImpactGoal chosen
    Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
  • C. hasConservationGoal
    Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
  • D. errorReductionGoal
    Indicates that an entity has a target or objective to decrease the number or rate of errors relative to a current or baseline level.
  • E. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e8b21048190b0fbccb10b2d3523 completed May 2, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:18 p.m.