Triple

T13291509
Position Surface form Disambiguated ID Type / Status
Subject Jaguar XK120 E316569 entity
Predicate enginePowerOutput P6069 FINISHED
Object 160 bhp 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: 160 bhp | Statement: [Jaguar XK120, enginePowerOutput, 160 bhp]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enginePowerOutput
Context triple: [Jaguar XK120, enginePowerOutput, 160 bhp]
  • A. enginePower chosen
    Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
  • B. designPowerOutput
    Indicates the intended or specified power output level that something is designed to produce under defined conditions.
  • C. powerOutputRpm
    Indicates the relationship between a system’s power output and the rotational speed (in revolutions per minute) at which that power is produced.
  • D. powerOutputApprox
    Indicates an approximate or estimated value for the power output produced by an entity or system.
  • E. powerOutputType
    Indicates the specific form or category of power output associated with an entity, such as electrical, mechanical, or thermal.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6893708190aeebf4c47386cff7 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.