Triple

T8866152
Position Surface form Disambiguated ID Type / Status
Subject Porsche 918 Spyder E211022 entity
Predicate electricRangeNEDC P26736 FINISHED
Object around 30 km 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: around 30 km | Statement: [Porsche 918 Spyder, electricRangeNEDC, around 30 km]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electricRangeNEDC
Context triple: [Porsche 918 Spyder, electricRangeNEDC, around 30 km]
  • A. electricRangeWLTP
    Indicates the maximum distance a vehicle can travel on electric power alone according to the WLTP test cycle.
  • B. electricRange chosen
    Indicates the maximum distance an electrically powered device or vehicle can travel or operate solely on electric power before needing to recharge.
  • C. hasDrivingRange
    Indicates that an entity (such as a vehicle or device) has a specific maximum distance it can travel or operate on a given amount of energy or fuel.
  • D. hasChargeRange
    Indicates that an entity is associated with a minimum and maximum charge value defining the range of charge it can have or support.
  • E. rangeNEDC
    Indicates the driving range of a vehicle as measured under the New European Driving Cycle (NEDC) test procedure.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69cc5c279ea481908c71756f694b66bf completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:51 p.m.