Triple

T4065796
Position Surface form Disambiguated ID Type / Status
Subject RAD750 E86319 entity
Predicate maximumPowerConsumption P18504 FINISHED
Object 10 W 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: 10 W | Statement: [RAD750, maximumPowerConsumption, 10 W]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumPowerConsumption
Context triple: [RAD750, maximumPowerConsumption, 10 W]
  • A. maximumPowerDuringOperation chosen
    Indicates the highest level of power that occurs while the system or component is operating.
  • B. powerBudgetCharacteristic
    Indicates a relationship where an entity’s power consumption limits, allocations, or constraints are specified as a characteristic or parameter.
  • C. powerOutputW
    Indicates the amount of power produced or delivered by an entity, measured in watts.
  • D. maximumPowerAtPSE
    Indicates the highest level of power that can be delivered or drawn at the Power Sourcing Equipment (PSE) in the relationship.
  • E. maximumPowerDeliveredToPD
    Indicates the highest level of electrical power that can be supplied to the power-drawing device (PD) in this relationship.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf58d9c8190936e453b0d397cb0 completed March 9, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69aef9061d2481908307cafc9e9b32c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.