Triple

T13629832
Position Surface form Disambiguated ID Type / Status
Subject Outer Circle E325683 entity
Predicate conversionToElectricTraction P392 FINISHED
Object 1935 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: 1935 | Statement: [Outer Circle, conversionToElectricTraction, 1935]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conversionToElectricTraction
Context triple: [Outer Circle, conversionToElectricTraction, 1935]
  • A. powerConversionSystem
    Indicates a system that transforms electrical power from one form, level, or source into another to meet specific usage or distribution requirements.
  • B. electrificationSystem
    Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
  • C. electrification chosen
    Indicates the process or state of providing electrical power or converting something to operate using electricity.
  • D. electrificationUsedFor
    Indicates that electrification is employed as a means or method to achieve, enable, or support a particular function, process, or purpose.
  • E. electrificationChangePoint
    Indicates a specific point in space or time at which the electrification status or type of a system, route, or infrastructure segment changes.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe85e1c4819095194f4b7f9f6118 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:51 p.m.