Triple

T24627014
Position Surface form Disambiguated ID Type / Status
Subject Monza Redline E609569 entity
Predicate differentiationFromBaseModel P69690 FINISHED
Object sportier exterior appearance 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: sportier exterior appearance | Statement: [Monza Redline, differentiationFromBaseModel, sportier exterior appearance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differentiationFromBaseModel
Context triple: [Monza Redline, differentiationFromBaseModel, sportier exterior appearance]
  • A. differentiatedFrom
    Indicates that one entity is distinguished or set apart from another by identifying differences between them.
  • B. differentiationProperty chosen
    Indicates a property or characteristic that serves to distinguish one entity from another within a given context.
  • C. differentiatesInto
    Indicates that one entity develops or transforms into another, typically representing a change in type, state, or specialization.
  • D. derivedFrom
    Indicates that one entity originates, is obtained, or is developed from another source entity.
  • E. inheritedFrom
    Indicates that one entity has received or derived something (such as traits, rights, or property) from another entity, typically a predecessor or ancestor.
  • 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_69e2c4d1d3708190a0f2dc6a3a8523bb completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:32 a.m.