Triple

T32039461
Position Surface form Disambiguated ID Type / Status
Subject 1959 Chevrolet Impala lowrider (inspired design) E818181 entity
Predicate hasCustomizationArea P193424 FINISHED
Object exterior body 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: exterior body | Statement: [1959 Chevrolet Impala lowrider (inspired design), hasCustomizationArea, exterior body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCustomizationArea
Context triple: [1959 Chevrolet Impala lowrider (inspired design), hasCustomizationArea, exterior body]
  • A. hasDisplayArea
    Indicates that an entity includes or is associated with a specific physical or virtual area used for displaying content or items.
  • B. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • C. hasNavigationArea
    Indicates that an entity is associated with or includes a designated area intended for navigation or movement.
  • D. hasCoreArea
    Indicates that an entity possesses a primary or central area that is fundamental to its structure, function, or focus.
  • E. hasMacroArea
    Indicates that one entity belongs to, or is located within, a broader geographic or conceptual macro-area represented by another entity.
  • F. None of above. chosen

Provenance (4 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_69f348fbc8148190b3c0f95d4772b153 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
PDg Predicate description generation batch_69fd474a71648190b6b6ae4991db81b1 completed May 8, 2026, 2:15 a.m.
Created at: May 1, 2026, 12:19 a.m.