Triple

T5453335
Position Surface form Disambiguated ID Type / Status
Subject Class 222 Meridian E122419 entity
Predicate hasPowerOutput P10373 FINISHED
Object high power-to-weight ratio 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: high power-to-weight ratio | Statement: [Class 222 Meridian, hasPowerOutput, high power-to-weight ratio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerOutput
Context triple: [Class 222 Meridian, hasPowerOutput, high power-to-weight ratio]
  • A. powerOutputW
    Indicates the amount of power produced or delivered by an entity, measured in watts.
  • B. designPowerOutput chosen
    Indicates the intended or specified power output level that something is designed to produce under defined conditions.
  • C. hasPowerSource
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • D. hasPowerRegulator
    Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
  • E. powerplantOutput
    Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd95be329c81908783420cf81b6af5 completed March 20, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69bd919e8d18819098c4af6a015e5cc2 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.