Triple

T12382547
Position Surface form Disambiguated ID Type / Status
Subject Timeless E295778 entity
Predicate hasTrack P3284 FINISHED
Object Precision E272493 NE 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: Precision | Statement: [Timeless, hasTrack, Precision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Precision
Context triple: [Timeless, hasTrack, Precision]
  • A. Precision chosen
    Precision is Dell’s line of high-performance workstation computers designed for professional workloads such as engineering, 3D modeling, and content creation.
  • B. Precision and Approximation
    "Precision and Approximation" is a volume in Felix Klein’s influential series *Elementary Mathematics from an Advanced Standpoint*, focusing on the rigorous treatment of numerical accuracy, error analysis, and approximation methods in mathematics.
  • C. Precisely
    Precisely is a data integrity and location intelligence company known for providing software and services that help organizations ensure accurate, consistent, and contextualized data for analytics and decision-making.
  • D. Sharpness
    Sharpness is a small port village in Gloucestershire, England, situated on the River Severn and known historically as a key inland dock and terminus for canal traffic.
  • E. PREC
    PREC is the Portuguese acronym for the Processo Revolucionário em Curso, the turbulent revolutionary period following Portugal’s 1974 Carnation Revolution marked by intense political and social transformation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.