Triple

T5102376
Position Surface form Disambiguated ID Type / Status
Subject Tesla export hub E115009 entity
Predicate usesProductionModel P61118 FINISHED
Object high-volume assembly lines 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: high-volume assembly lines | Statement: [Tesla export hub, usesProductionModel, high-volume assembly lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesProductionModel
Context triple: [Tesla export hub, usesProductionModel, high-volume assembly lines]
  • A. usesProductionStyle
    Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
  • B. hasProduction
    Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
  • C. producedModel
    Indicates that one entity created, manufactured, or generated the other entity as a model or product.
  • D. hasProductionMethod
    Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
  • E. fromProduction
    Indicates that something originates from, is derived from, or is produced by a particular production process, source, or facility.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7586a4a08190866aea6be625837c completed March 20, 2026, 4:27 p.m.
PD Predicate disambiguation batch_69bd715e06808190931934dc9930f997 completed March 20, 2026, 4:10 p.m.
PDg Predicate description generation batch_69bd738ac2e0819099c06cdcc5e21d28 completed March 20, 2026, 4:19 p.m.
Created at: March 20, 2026, 1:41 p.m.