Triple

T16705447
Position Surface form Disambiguated ID Type / Status
Subject ORLY E405955 entity
Predicate underlyingProducts P26480 FINISHED
Object automotive parts 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: automotive parts | Statement: [ORLY, underlyingProducts, automotive parts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingProducts
Context triple: [ORLY, underlyingProducts, automotive parts]
  • A. hasUnderlyingAssets
    Indicates that one entity is supported, backed, or derived from another entity or set of entities that serve as its foundational assets.
  • B. underlyingAsset
    Indicates that one asset serves as the fundamental reference or basis for the value, performance, or contractual terms of another financial instrument or derivative.
  • C. underlyingConstituentsType
    Indicates the type or category of fundamental components that make up or underlie a given entity or structure.
  • D. underlyingInstrument
    Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
  • E. productsTraded chosen
    Indicates that one entity exchanges or deals specific goods or commodities with another entity.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383355f908190be467a12079b3d6f completed April 18, 2026, 1:12 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.